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Anne Ruiz-Gazen

Personal Details

First Name:Anne
Middle Name:
Last Name:Ruiz-Gazen
Suffix:
RePEc Short-ID:pru145
[This author has chosen not to make the email address public]
https://www.tse-fr.eu/people/anne-ruiz-gazen

Affiliation

Groupe de Recherche en Économie Mathématique et Quantitative (GREMAQ)
Toulouse School of Economics (TSE)

Toulouse, France
http://www-gremaq.univ-tlse1.fr/
RePEc:edi:getlsfr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Estelle Medous & Camelia Goga & Anne Ruiz-Gazen & Jean-François Beaumont & Alain Dessertaine & Pauline Puech, 2023. "QR prediction for statistical data integration," Post-Print hal-04390127, HAL.
  2. Christopher Rieser & Anne Ruiz-Gazen & Christine Thomas-Agnan, 2023. "Edgewise outliers of network indexed signals," Post-Print hal-04373812, HAL.
  3. Anne Ruiz-Gazen & Christine Thomas-Agnan & Thibault Laurent & Camille Mondon, 2023. "Detecting outliers in compositional data using Invariant coordinate selection," Post-Print hal-04216540, HAL.
  4. Estelle Medous & Camelia Goga & Anne Ruiz-Gazen & Jean-François Beaumont & Alain Dessertaine & Pauline Puech, 2023. "Many-to-One indirect samplingwith application to the French postaltraffic estimation," Post-Print hal-04067663, HAL.
  5. Thibault Laurent & Christine Thomas-Agnan & Anne Ruiz-Gazen, 2023. "Covariates impacts in spatial autoregressive models for compositional data," Post-Print hal-04215280, HAL.
  6. Aurore Archimbaud & Zlatko Drmac & Klaus Nordhausen & Una Radojicic & Anne Ruiz-Gazen, 2023. "Numerical Considerations and a New Implementation for Invariant Coordinate Selection," Post-Print hal-04038657, HAL.
  7. Ruiz-Gazen, Anne & Lopuhaä, Henrik Paul & Gares, Valérie, 2022. "S-estimation in Linear Models with Structured Covariance Matrices," TSE Working Papers 22-1343, Toulouse School of Economics (TSE).
  8. Klaus Nordhausen & Anne Ruiz-Gazen, 2022. "On the usage of joint diagonalization in multivariate statistics," Post-Print hal-04296111, HAL.
  9. Thi-Huong-An Nguyen & Thibault Laurent & Christine Thomas-Agnan & Anne Ruiz-Gazen, 2022. "Analyzing the impacts of socio-economic factors on French departmental elections with CoDa methods," Post-Print hal-03721994, HAL.
  10. Christine Thomas-Agnan & Thibault Laurent & Anne Ruiz-Gazen & Thi-Huong-An Nguyen & Raja Chakir & Anna Lungarska, 2021. "Spatial Simultaneous Autoregressive Models for Compositional Data: Application to Land Use [Modèles autorégressifs spatiaux simultanés pour les données compositionnelles : Application à l'utilisati," Post-Print hal-03247387, HAL.
  11. Daniel Fischer & Alain Berro & Klaus Nordhausen & Anne Ruiz-Gazen, 2021. "REPPlab: An R package for detecting clusters and outliers using exploratory projection pursuit," Post-Print hal-03548865, HAL.
  12. Thi-Huong-An Nguyen & Christine Thomas-Agnan & Thibault Laurent & Anne Ruiz-Gazen & Chakir Raja & Anna Lungarska, 2021. "A simultaneous spatial autoregressive model for compositional data," Post-Print hal-03239250, HAL.
  13. Archimbaud, Aurore & Boulfani, Fériel & Gendre, Xavier & Nordhausen, Klaus & Ruiz-Gazen, Anne & Virta, Joni, 2021. "ICS for multivariate functional anomaly detection with applications to predictive maintenance and quality control," TSE Working Papers 21-1182, Toulouse School of Economics (TSE), revised Mar 2022.
  14. Fériel Boulfani & Xavier Gendre & Anne Ruiz-Gazen & Martina Salvignol, 2021. "A statistical approach for sizing an aircraft electrical generator using extreme value theory," Post-Print hal-03552703, HAL.
  15. Goga, Camelia & Ruiz-Gazen, Anne, 2019. "Improving the Estimation of the Odds Ratio in Sampling Surveys using Auxiliary Information," TSE Working Papers 19-1000, Toulouse School of Economics (TSE), revised Jul 2020.
  16. Camelia Goga & Anne Ruiz-Gazen, 2019. "Estimating the odds-ratio using auxiliary information," Post-Print hal-03159292, HAL.
  17. Bachoc, François & Genton, Mark G. & Nordhausen, Klaus & Ruiz-Gazen, Anne & Virta, Joni, 2019. "Spatial Blind Source Separation," TSE Working Papers 19-998, Toulouse School of Economics (TSE).
  18. Chakir, Raja & Laurent, Thibault & Ruiz-Gazen, Anne & Thomas-Agnan, Christine & Vignes, Céline, 2017. "Prédiction de l’usage des sols sur un zonage régulier à différentes résolutions et à partir de covariables facilement accessibles," TSE Working Papers 17-769, Toulouse School of Economics (TSE).
  19. Juillard, Hélène & Chauvet, Guillaume & Ruiz-Gazen, Anne, 2016. "Estimation under cross-classified sampling with application to a childhood survey," TSE Working Papers 16-659, Toulouse School of Economics (TSE).
  20. Chakir, Raja & Laurent, Thibault & Ruiz-Gazen, Anne & Thomas-Agnan, Christine & Vignes, Céline, 2016. "Land use predictions on a regular grid at different scales and with easily accessible covariates," TSE Working Papers 16-666, Toulouse School of Economics (TSE).
  21. Chakir, Raja & Laurent, Thibault & Ruiz-Gazen, Anne & Thomas-Agnan, Christine & Vignes, Céline, 2016. "Spatial scale in land use models: application to the Teruti-Lucas survey," TSE Working Papers 16-667, Toulouse School of Economics (TSE).
  22. Vignes, Céline & Rimbourg, Sarah & Ruiz-Gazen, Anne & Thomas-Agnan, Christine, 2013. "Fiches méthodologiques, méthodes statistiques d’allocation spatiale : interpolation de données surfaciques," TSE Working Papers 13-446, Toulouse School of Economics (TSE).
  23. Laurent, Thibault & Ruiz-Gazen, Anne & Thomas-Agnan, Christine, 2009. "GeoXp: An R Package for Exploratory Spatial Data Analysis," TSE Working Papers 09-099, Toulouse School of Economics (TSE).
  24. Genton, Mark G. & Ruiz-Gazen, Anne, 2009. "Visualizing Influential Observations in Dependent Data," TSE Working Papers 09-051, Toulouse School of Economics (TSE).
  25. Aragon, Y. & Haughton, D. & Haughton, J. & Leconte, E. & Malin, E. & Ruiz-Gazen, A. & Thomas-Agnan. C., 1999. "Explaining the Pattern of Regional Unemployment: the Case of the Midi-Pyrenees Region," Papers 99.519, Toulouse - GREMAQ.

Articles

  1. Thibault Laurent & Christine Thomas-Agnan & Anne Ruiz-Gazen, 2023. "Covariates impacts in spatial autoregressive models for compositional data," Journal of Spatial Econometrics, Springer, vol. 4(1), pages 1-23, December.
  2. Nordhausen, Klaus & Ruiz-Gazen, Anne, 2022. "On the usage of joint diagonalization in multivariate statistics," Journal of Multivariate Analysis, Elsevier, vol. 188(C).
  3. T. H. A. Nguyen & T. Laurent & C. Thomas-Agnan & A. Ruiz-Gazen, 2022. "Analyzing the impacts of socio-economic factors on French departmental elections with CoDa methods," Journal of Applied Statistics, Taylor & Francis Journals, vol. 49(5), pages 1235-1251, April.
  4. Thi Huong An Nguyen & Christine Thomas-Agnan & Thibault Laurent & Anne Ruiz-Gazen, 2021. "A simultaneous spatial autoregressive model for compositional data," Spatial Economic Analysis, Taylor & Francis Journals, vol. 16(2), pages 161-175, April.
  5. François Bachoc & Marc G Genton & Klaus Nordhausen & Anne Ruiz-Gazen & Joni Virta, 2020. "Spatial blind source separation," Biometrika, Biometrika Trust, vol. 107(3), pages 627-646.
  6. Thi Huong An Nguyen & Anne Ruiz-Gazen & Christine Thomas-Agnan & Thibault Laurent, 2019. "Multivariate Student versus Multivariate Gaussian Regression Models with Application to Finance," JRFM, MDPI, vol. 12(1), pages 1-21, February.
  7. Archimbaud, Aurore & Nordhausen, Klaus & Ruiz-Gazen, Anne, 2018. "ICS for multivariate outlier detection with application to quality control," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 184-199.
  8. Raja Chakir & Thibault Laurent & Anne Ruiz-Gazen & Christine Thomas-Agnan & Céline Vignes, 2017. "Prédiction de l’usage des sols sur un zonage régulier à différentes résolutions et à partir de covariables facilement accessibles," Revue économique, Presses de Sciences-Po, vol. 68(3), pages 435-469.
  9. Hélène Juillard & Guillaume Chauvet & Anne Ruiz-Gazen, 2017. "Estimation Under Cross-Classified Sampling With Application to a Childhood Survey," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(518), pages 850-858, April.
  10. Camelia Goga & Anne Ruiz-Gazen, 2014. "Efficient estimation of non-linear finite population parameters by using non-parametrics," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 76(1), pages 113-140, January.
  11. Peter Filzmoser & Anne Ruiz-Gazen & Christine Thomas-Agnan, 2014. "Identification of local multivariate outliers," Statistical Papers, Springer, vol. 55(1), pages 29-47, February.
  12. J.-F. Beaumont & D. Haziza & A. Ruiz-Gazen, 2013. "A unified approach to robust estimation in finite population sampling," Biometrika, Biometrika Trust, vol. 100(3), pages 555-569.
  13. Laurent, Thibault & Ruiz-Gazen, Anne & Thomas-Agnan, Christine, 2012. "GeoXp: An R Package for Exploratory Spatial Data Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 47(i02).
  14. Liliane Bonnal & Pascal Favard & Thibault Laurent & Anne Ruiz-Gazen, 2011. "Pourquoi le coût de l'éducation est-il plus élevé en zone rurale ? Le cas de la région Midi-Pyrénées," Revue d'économie régionale et urbaine, Armand Colin, vol. 0(5), pages 887-910.
  15. Christophe Croux & Mohammed Fekri & Anne Ruiz-Gazen, 2010. "Fast and robust estimation of the multivariate errors in variables model," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 19(2), pages 286-303, August.
  16. C. Goga & J.-C. Deville & A. Ruiz-Gazen, 2009. "Use of functionals in linearization and composite estimation with application to two-sample survey data," Biometrika, Biometrika Trust, vol. 96(3), pages 691-709.
  17. Fekri, M. & Ruiz-Gazen, A., 2006. "Robust estimation in the simple errors-in-variables model," Statistics & Probability Letters, Elsevier, vol. 76(16), pages 1741-1747, October.
  18. Croux, Christophe & Ruiz-Gazen, Anne, 2005. "High breakdown estimators for principal components: the projection-pursuit approach revisited," Journal of Multivariate Analysis, Elsevier, vol. 95(1), pages 206-226, July.
  19. Fekri, M. & Ruiz-Gazen, A., 2004. "Robust weighted orthogonal regression in the errors-in-variables model," Journal of Multivariate Analysis, Elsevier, vol. 88(1), pages 89-108, January.
  20. Caussinus, H. & Fekri, M. & Hakam, S. & Ruiz-Gazen, A., 2003. "A monitoring display of multivariate outliers," Computational Statistics & Data Analysis, Elsevier, vol. 44(1-2), pages 237-252, October.
  21. Ruiz-Gazen, Anne, 1996. "A very simple robust estimator of a dispersion matrix," Computational Statistics & Data Analysis, Elsevier, vol. 21(2), pages 149-162, February.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Anne Ruiz-Gazen & Christine Thomas-Agnan & Thibault Laurent & Camille Mondon, 2023. "Detecting outliers in compositional data using Invariant coordinate selection," Post-Print hal-04216540, HAL.

    Cited by:

    1. Dargel, Lukas & Thomas-Agnan, Christine, 2024. "Pairwise share ratio interpretations of compositional regression models," Computational Statistics & Data Analysis, Elsevier, vol. 195(C).
    2. Thomas-Agnan, Christine & Mondon, Camille & Trinh, Thi-Huong & Ruiz-Gazen, Anne, 2024. "ICS for complex data with application to outlier detection for density data objects," TSE Working Papers 24_1585, Toulouse School of Economics (TSE).

  2. Thibault Laurent & Christine Thomas-Agnan & Anne Ruiz-Gazen, 2023. "Covariates impacts in spatial autoregressive models for compositional data," Post-Print hal-04215280, HAL.

    Cited by:

    1. Dargel, Lukas & Thomas-Agnan, Christine, 2023. "Share-ratio interpretations of compositional regression models," TSE Working Papers 23-1456, Toulouse School of Economics (TSE), revised 20 Sep 2023.
    2. Thomas-Agnan, Christine & Laurent, Thibault & Ruiz-Gazen, Anne, 2020. "Covariates impacts in spatial autoregressive models for compositional data," TSE Working Papers 20-1162, Toulouse School of Economics (TSE), revised Oct 2021.
    3. Dargel, Lukas & Thomas-Agnan, Christine, 2024. "Pairwise share ratio interpretations of compositional regression models," Computational Statistics & Data Analysis, Elsevier, vol. 195(C).

  3. Aurore Archimbaud & Zlatko Drmac & Klaus Nordhausen & Una Radojicic & Anne Ruiz-Gazen, 2023. "Numerical Considerations and a New Implementation for Invariant Coordinate Selection," Post-Print hal-04038657, HAL.

    Cited by:

    1. Thomas-Agnan, Christine & Mondon, Camille & Trinh, Thi-Huong & Ruiz-Gazen, Anne, 2024. "ICS for complex data with application to outlier detection for density data objects," TSE Working Papers 24_1585, Toulouse School of Economics (TSE).

  4. Klaus Nordhausen & Anne Ruiz-Gazen, 2022. "On the usage of joint diagonalization in multivariate statistics," Post-Print hal-04296111, HAL.

    Cited by:

    1. Ruiz-Gazen, Anne & Thomas-Agnan, Christine & Laurent, Thibault & Mondon, Camille, 2022. "Detecting outliers in compositional data using Invariant Coordinate Selection," TSE Working Papers 22-1320, Toulouse School of Economics (TSE).
    2. Thomas-Agnan, Christine & Mondon, Camille & Trinh, Thi-Huong & Ruiz-Gazen, Anne, 2024. "ICS for complex data with application to outlier detection for density data objects," TSE Working Papers 24_1585, Toulouse School of Economics (TSE).

  5. Thi-Huong-An Nguyen & Thibault Laurent & Christine Thomas-Agnan & Anne Ruiz-Gazen, 2022. "Analyzing the impacts of socio-economic factors on French departmental elections with CoDa methods," Post-Print hal-03721994, HAL.

    Cited by:

    1. Jacob Fiksel & Scott Zeger & Abhirup Datta, 2022. "A transformation‐free linear regression for compositional outcomes and predictors," Biometrics, The International Biometric Society, vol. 78(3), pages 974-987, September.
    2. Thi Huong An Nguyen & Anne Ruiz-Gazen & Christine Thomas-Agnan & Thibault Laurent, 2019. "Multivariate Student versus Multivariate Gaussian Regression Models with Application to Finance," JRFM, MDPI, vol. 12(1), pages 1-21, February.
    3. Dargel, Lukas & Thomas-Agnan, Christine, 2024. "Pairwise share ratio interpretations of compositional regression models," Computational Statistics & Data Analysis, Elsevier, vol. 195(C).
    4. Thomas-Agnan, Christine & Morais, Joanna, 2019. "Covariates impacts in compositional models and simplicial derivatives," TSE Working Papers 19-1057, Toulouse School of Economics (TSE).
    5. Joanna Morais & Christine Thomas-Agnan, 2021. "Impact of covariates in compositional models and simplicial derivatives," Post-Print hal-03180682, HAL.
    6. Bačo, Tomáš & Baumöhl, Eduard, 2021. "Socioeconomic factors and shifts in ideological orientation among political parties: Parliamentary elections in Slovakia from 1998 to 2020," EconStor Preprints 246584, ZBW - Leibniz Information Centre for Economics.

  6. Christine Thomas-Agnan & Thibault Laurent & Anne Ruiz-Gazen & Thi-Huong-An Nguyen & Raja Chakir & Anna Lungarska, 2021. "Spatial Simultaneous Autoregressive Models for Compositional Data: Application to Land Use [Modèles autorégressifs spatiaux simultanés pour les données compositionnelles : Application à l'utilisati," Post-Print hal-03247387, HAL.

    Cited by:

    1. Dargel, Lukas & Thomas-Agnan, Christine, 2023. "Share-ratio interpretations of compositional regression models," TSE Working Papers 23-1456, Toulouse School of Economics (TSE), revised 20 Sep 2023.
    2. Thomas-Agnan, Christine & Laurent, Thibault & Ruiz-Gazen, Anne, 2020. "Covariates impacts in spatial autoregressive models for compositional data," TSE Working Papers 20-1162, Toulouse School of Economics (TSE), revised Oct 2021.

  7. Thi-Huong-An Nguyen & Christine Thomas-Agnan & Thibault Laurent & Anne Ruiz-Gazen & Chakir Raja & Anna Lungarska, 2021. "A simultaneous spatial autoregressive model for compositional data," Post-Print hal-03239250, HAL.

    Cited by:

    1. Dargel, Lukas & Thomas-Agnan, Christine, 2023. "Share-ratio interpretations of compositional regression models," TSE Working Papers 23-1456, Toulouse School of Economics (TSE), revised 20 Sep 2023.
    2. Thomas-Agnan, Christine & Laurent, Thibault & Ruiz-Gazen, Anne, 2020. "Covariates impacts in spatial autoregressive models for compositional data," TSE Working Papers 20-1162, Toulouse School of Economics (TSE), revised Oct 2021.
    3. Woraphon Yamaka & Siritaya Lomwanawong & Darin Magel & Paravee Maneejuk, 2022. "Analysis of the Lockdown Effects on the Economy, Environment, and COVID-19 Spread: Lesson Learnt from a Global Pandemic in 2020," IJERPH, MDPI, vol. 19(19), pages 1-21, October.
    4. Dargel, Lukas & Thomas-Agnan, Christine, 2024. "Pairwise share ratio interpretations of compositional regression models," Computational Statistics & Data Analysis, Elsevier, vol. 195(C).

  8. Bachoc, François & Genton, Mark G. & Nordhausen, Klaus & Ruiz-Gazen, Anne & Virta, Joni, 2019. "Spatial Blind Source Separation," TSE Working Papers 19-998, Toulouse School of Economics (TSE).

    Cited by:

    1. Nordhausen, Klaus & Ruiz-Gazen, Anne, 2021. "On the usage of joint diagonalization in multivariate statistics," TSE Working Papers 21-1268, Toulouse School of Economics (TSE).
    2. Zhang, Bo & Hao, Sixing & Yao, Qiwei, 2023. "Blind Source Separation over Space: an eigenanalysis approach," LSE Research Online Documents on Economics 121093, London School of Economics and Political Science, LSE Library.

  9. Juillard, Hélène & Chauvet, Guillaume & Ruiz-Gazen, Anne, 2016. "Estimation under cross-classified sampling with application to a childhood survey," TSE Working Papers 16-659, Toulouse School of Economics (TSE).

    Cited by:

    1. Rivest, Louis-Paul & Ebouele, Sergio Ewane, 2020. "Sampling a two dimensional matrix," Computational Statistics & Data Analysis, Elsevier, vol. 149(C).

  10. Chakir, Raja & Laurent, Thibault & Ruiz-Gazen, Anne & Thomas-Agnan, Christine & Vignes, Céline, 2016. "Land use predictions on a regular grid at different scales and with easily accessible covariates," TSE Working Papers 16-666, Toulouse School of Economics (TSE).

    Cited by:

    1. Chakir, Raja & Laurent, Thibault & Ruiz-Gazen, Anne & Thomas-Agnan, Christine & Vignes, Céline, 2016. "Spatial scale in land use models: application to the Teruti-Lucas survey," TSE Working Papers 16-667, Toulouse School of Economics (TSE).

  11. Laurent, Thibault & Ruiz-Gazen, Anne & Thomas-Agnan, Christine, 2009. "GeoXp: An R Package for Exploratory Spatial Data Analysis," TSE Working Papers 09-099, Toulouse School of Economics (TSE).

    Cited by:

    1. T. Gregory & R. Patuelli, 2013. "Regional Age Structure, Human Capital and Innovation - Is Demographic Ageing Increasing Regional Disparities?," Working Papers wp900, Dipartimento Scienze Economiche, Universita' di Bologna.
    2. Payton, Quinn C. & McManus, Michael G. & Weber, Marc H. & Olsen, Anthony R. & Kincaid, Thomas M., 2015. "micromap: A Package for Linked Micromaps," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i02).
    3. Angelos Liontakis & Dimitris Kremmydas, 2013. "Food Inflation in EU: Distribution Analysis and Spatial Effects," Working Papers 2013-3, Agricultural University of Athens, Department Of Agricultural Economics.
    4. de Iaco, Sandra, 2017. "The cgeostat Software for Analyzing Complex-Valued Random Fields," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i05).
    5. Gonzalez-Ollauri, Alejandro & Thomson, Craig S. & Mickovski, Slobodan B., 2020. "Waste to Land (W2L): A novel tool to show and predict the spatial effect of applying biosolids on the environment," Agricultural Systems, Elsevier, vol. 185(C).
    6. de Mouzon, Olivier & Laurent, Thibault & Le Breton, Michel, 2020. "One Man, One Vote Part 2: Measurement of Malapportionment and Disproportionality and the Lorenz Curve," TSE Working Papers 20-1089, Toulouse School of Economics (TSE).
    7. Luc Anselin, 2012. "From SpaceStat to CyberGIS," International Regional Science Review, , vol. 35(2), pages 131-157, April.
    8. Pebesma, Edzer & Bivand, Roger & Ribeiro, Paulo Justiniano, 2015. "Software for Spatial Statistics," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i01).

  12. Genton, Mark G. & Ruiz-Gazen, Anne, 2009. "Visualizing Influential Observations in Dependent Data," TSE Working Papers 09-051, Toulouse School of Economics (TSE).

    Cited by:

    1. Ronny Vallejos & Felipe Osorio & Diego Mancilla, 2015. "The codispersion map: a graphical tool to visualize the association between two spatial variables," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 69(3), pages 298-314, August.
    2. Li, Hongfei & Calder, Catherine A. & Cressie, Noel, 2012. "One-step estimation of spatial dependence parameters: Properties and extensions of the APLE statistic," Journal of Multivariate Analysis, Elsevier, vol. 105(1), pages 68-84.
    3. Martínez-Hernández, Israel & Genton, Marc G. & González-Farías, Graciela, 2019. "Robust depth-based estimation of the functional autoregressive model," Computational Statistics & Data Analysis, Elsevier, vol. 131(C), pages 66-79.

  13. Aragon, Y. & Haughton, D. & Haughton, J. & Leconte, E. & Malin, E. & Ruiz-Gazen, A. & Thomas-Agnan. C., 1999. "Explaining the Pattern of Regional Unemployment: the Case of the Midi-Pyrenees Region," Papers 99.519, Toulouse - GREMAQ.

    Cited by:

    1. Victor Montuenga & Roberto Bande & Melchor Fernandez, 2011. "Wage flexibility and local labour markets: homogeneity of the wage curve in Spain," ERSA conference papers ersa11p414, European Regional Science Association.
    2. Roberto Patuelli & Norbert Schanne & Daniel A. Griffith & Peter Nijkamp, 2009. "Persistence of Regional Unemployment: Application of a Spatial Filtering Approach to Local Labour Markets in Germany," Working Paper series 49_09, Rimini Centre for Economic Analysis, revised Nov 2011.
    3. Cracolici, M. Francesca & Cuffaro, Miranda & Nijkamp, Peter, 2007. "Geographical distribution of unemployment: an analysis of provincial differences in Italy," Serie Research Memoranda 0001, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    4. Sarantis LOLOS & Evangelia PAPAPETROU, 2012. "Unemployment disparities and persistence Assessing the evidence from Greek regions, 1981-2008," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 12(1), pages 69-90.
    5. Natalia PRESSMAN & Vadim KLEPFISH, 2008. "Regional Unemployment Rate Convergence in Israel," EcoMod2008 23800110, EcoMod.
    6. Olga Demidova & Marcello Signorelli, 2010. "The Impact of Crises on Youth Unemployment of Russian Regions: An Empirical Analysis," Quaderni del Dipartimento di Economia, Finanza e Statistica 78/2010, Università di Perugia, Dipartimento Economia.
    7. Román Mínguez & María L. & Roberto Basile, 2016. "Spatio-Temporal Autoregressive Semiparametric Model for the analysis of regional economic data," Working Papers LuissLab 16126, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    8. Michel Blanc & François Hild, 2008. "Analyse des marchés locaux du travail : du chômage à l'emploi," Économie et Statistique, Programme National Persée, vol. 415(1), pages 45-60.
    9. Ana Maria DIAZ ESCOBAR, 2011. "Spatial Unemployment Differentials in Colombia," LIDAM Discussion Papers IRES 2011014, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    10. Cristiano Perugini & Marcello Signorelli, 2007. "Labour Market Performance Differentials and Dynamics in EU-15 Countries and Regions," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 4(2), pages 209-262, September.
    11. Emmanuel Duguet & Yannick L'horty & Florent Sari, 2023. "Agglomeration effects and unemployment to work: Evidence from French data," Papers in Regional Science, Wiley Blackwell, vol. 102(1), pages 129-166, February.
    12. Semerikova, Elena, 2014. "Unemployment in East and West Germany: Spatial panel data analysis," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 35(3), pages 107-132.
    13. Franziska Lottmann, 2012. "Regional Unemployment in Germany: a spatial panel data analysis," ERSA conference papers ersa12p53, European Regional Science Association.
    14. Laura Helena KIVI & Tiiu PAAS, 2021. "Spatial interactions of employment in European labour markets," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 12, pages 196-211, August.
    15. Cristiano Perugini & Marcello Signorelli, 2010. "Youth labour market performance in European regions," Economic Change and Restructuring, Springer, vol. 43(2), pages 151-185, May.
    16. Semerikova, Elena & Demidova, Olga, 2016. "Using spatial econometric models for regional unemployment forecasting," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 43, pages 29-51.
    17. Laura Helena Kivi, 2019. "Spatial Interactions Of Regional Labour Markets In Europe," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 116, Faculty of Economics and Business Administration, University of Tartu (Estonia).
    18. del Campo, Cristina & Monteiro, Carlos M.F. & Soares, Joao Oliveira, 2008. "The European regional policy and the socio-economic diversity of European regions: A multivariate analysis," European Journal of Operational Research, Elsevier, vol. 187(2), pages 600-612, June.
    19. Román Mínguez & Roberto Basile & María Durbán, 2020. "An alternative semiparametric model for spatial panel data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(4), pages 669-708, December.
    20. Lottmann, Franziska, 2012. "Explaining regional unemployment differences in Germany: A spatial panel data analysis," SFB 649 Discussion Papers 2012-026, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    21. Maria Cracolici & Miranda Cuffaro & Peter Nijkamp, 2009. "A spatial analysis on Italian unemployment differences," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(2), pages 275-291, July.
    22. Nigel Driffield & Karl Taylor, 2006. "Wage Spillovers, Inter-regional Effects and the Impact of Inward Investment," Spatial Economic Analysis, Taylor & Francis Journals, vol. 1(2), pages 187-205.
    23. Mark Trede & Michael Zimmermann, 2020. "Regional labour migration - Stylized facts for Germany," CQE Working Papers 9320, Center for Quantitative Economics (CQE), University of Muenster.
    24. Raymond J. G. M. Florax & Arno J. Van der Vlist, 2003. "Spatial Econometric Data Analysis: Moving Beyond Traditional Models," International Regional Science Review, , vol. 26(3), pages 223-243, July.

Articles

  1. Thibault Laurent & Christine Thomas-Agnan & Anne Ruiz-Gazen, 2023. "Covariates impacts in spatial autoregressive models for compositional data," Journal of Spatial Econometrics, Springer, vol. 4(1), pages 1-23, December.
    See citations under working paper version above.
  2. Nordhausen, Klaus & Ruiz-Gazen, Anne, 2022. "On the usage of joint diagonalization in multivariate statistics," Journal of Multivariate Analysis, Elsevier, vol. 188(C).
    See citations under working paper version above.
  3. T. H. A. Nguyen & T. Laurent & C. Thomas-Agnan & A. Ruiz-Gazen, 2022. "Analyzing the impacts of socio-economic factors on French departmental elections with CoDa methods," Journal of Applied Statistics, Taylor & Francis Journals, vol. 49(5), pages 1235-1251, April.
    See citations under working paper version above.
  4. Thi Huong An Nguyen & Christine Thomas-Agnan & Thibault Laurent & Anne Ruiz-Gazen, 2021. "A simultaneous spatial autoregressive model for compositional data," Spatial Economic Analysis, Taylor & Francis Journals, vol. 16(2), pages 161-175, April.
    See citations under working paper version above.
  5. François Bachoc & Marc G Genton & Klaus Nordhausen & Anne Ruiz-Gazen & Joni Virta, 2020. "Spatial blind source separation," Biometrika, Biometrika Trust, vol. 107(3), pages 627-646.
    See citations under working paper version above.
  6. Thi Huong An Nguyen & Anne Ruiz-Gazen & Christine Thomas-Agnan & Thibault Laurent, 2019. "Multivariate Student versus Multivariate Gaussian Regression Models with Application to Finance," JRFM, MDPI, vol. 12(1), pages 1-21, February.

    Cited by:

    1. Chia-Lin Chang, 2020. "Editorial for Applied Econometrics," JRFM, MDPI, vol. 13(9), pages 1-5, August.

  7. Archimbaud, Aurore & Nordhausen, Klaus & Ruiz-Gazen, Anne, 2018. "ICS for multivariate outlier detection with application to quality control," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 184-199.

    Cited by:

    1. Loperfido, Nicola, 2021. "Some theoretical properties of two kurtosis matrices, with application to invariant coordinate selection," Journal of Multivariate Analysis, Elsevier, vol. 186(C).
    2. Javed, Farrukh & Loperfido, Nicola & Mazur, Stepan, 2024. "The Method of Moments for Multivariate Random Sums," Working Papers 2024:6, Örebro University, School of Business.
    3. Nordhausen, Klaus & Ruiz-Gazen, Anne, 2021. "On the usage of joint diagonalization in multivariate statistics," TSE Working Papers 21-1268, Toulouse School of Economics (TSE).
    4. Archimbaud, Aurore & Boulfani, Fériel & Gendre, Xavier & Nordhausen, Klaus & Ruiz-Gazen, Anne & Virta, Joni, 2021. "ICS for multivariate functional anomaly detection with applications to predictive maintenance and quality control," TSE Working Papers 21-1182, Toulouse School of Economics (TSE), revised Mar 2022.
    5. Ruiz-Gazen, Anne & Thomas-Agnan, Christine & Laurent, Thibault & Mondon, Camille, 2022. "Detecting outliers in compositional data using Invariant Coordinate Selection," TSE Working Papers 22-1320, Toulouse School of Economics (TSE).
    6. Thomas-Agnan, Christine & Mondon, Camille & Trinh, Thi-Huong & Ruiz-Gazen, Anne, 2024. "ICS for complex data with application to outlier detection for density data objects," TSE Working Papers 24_1585, Toulouse School of Economics (TSE).

  8. Hélène Juillard & Guillaume Chauvet & Anne Ruiz-Gazen, 2017. "Estimation Under Cross-Classified Sampling With Application to a Childhood Survey," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(518), pages 850-858, April.
    See citations under working paper version above.
  9. Camelia Goga & Anne Ruiz-Gazen, 2014. "Efficient estimation of non-linear finite population parameters by using non-parametrics," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 76(1), pages 113-140, January.

    Cited by:

    1. Goga, Camelia & Ruiz-Gazen, Anne, 2019. "Improving the Estimation of the Odds Ratio in Sampling Surveys using Auxiliary Information," TSE Working Papers 19-1000, Toulouse School of Economics (TSE), revised Jul 2020.
    2. Sumanta Adhya & Banerjee, Tathagata & Chattopadhyay, Gouranga, 2015. "A Note on Estimating Variance of Finite Population Distribution Function," IIMA Working Papers WP2015-08-02, Indian Institute of Management Ahmedabad, Research and Publication Department.
    3. Zhao, Puying & Haziza, David & Wu, Changbao, 2020. "Survey weighted estimating equation inference with nuisance functionals," Journal of Econometrics, Elsevier, vol. 216(2), pages 516-536.

  10. Peter Filzmoser & Anne Ruiz-Gazen & Christine Thomas-Agnan, 2014. "Identification of local multivariate outliers," Statistical Papers, Springer, vol. 55(1), pages 29-47, February.

    Cited by:

    1. Mohammed Attouch & Ali Laksaci & Nafissa Messabihi, 2017. "Nonparametric relative error regression for spatial random variables," Statistical Papers, Springer, vol. 58(4), pages 987-1008, December.
    2. Brenton R. Clarke & Andrew Grose, 2023. "A further study comparing forward search multivariate outlier methods including ATLA with an application to clustering," Statistical Papers, Springer, vol. 64(2), pages 395-420, April.
    3. Andrea Cerioli & Marco Riani & Anthony C. Atkinson & Aldo Corbellini, 2018. "Rejoinder to the discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample”," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(4), pages 661-666, December.
    4. Fernanda De Bastiani & Audrey Mariz de Aquino Cysneiros & Miguel Uribe-Opazo & Manuel Galea, 2015. "Influence diagnostics in elliptical spatial linear models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 24(2), pages 322-340, June.
    5. Tarr, G. & Müller, S. & Weber, N.C., 2016. "Robust estimation of precision matrices under cellwise contamination," Computational Statistics & Data Analysis, Elsevier, vol. 93(C), pages 404-420.

  11. J.-F. Beaumont & D. Haziza & A. Ruiz-Gazen, 2013. "A unified approach to robust estimation in finite population sampling," Biometrika, Biometrika Trust, vol. 100(3), pages 555-569.

    Cited by:

    1. Mulry Mary H. & Kaputa Stephen & Thompson Katherine J., 2018. "Setting M-Estimation Parameters for Detection and Treatment of Influential Values," Journal of Official Statistics, Sciendo, vol. 34(2), pages 483-501, June.
    2. Cantoni, Eva & de Luna, Xavier, 2020. "Semiparametric inference with missing data: Robustness to outliers and model misspecification," Econometrics and Statistics, Elsevier, vol. 16(C), pages 108-120.
    3. Martínez-Ovando Juan Carlos & Olivares-Guzmán Sergio I. & Roldán-Rodríguez Adriana, 2014. "Predictive Inference on Finite Populations Segmented in Planned and Unplanned Domains," Working Papers 2014-04, Banco de México.
    4. Valéry Dongmo Jiongo & Pierre Nguimkeu, 2018. "Bootstrapping Mean Squared Errors of Robust Small-Area Estimators: Application to the Method-of-Payments Data," Staff Working Papers 18-28, Bank of Canada.
    5. Valéry Dongmo Jiongo, 2017. "The Bank of Canada 2015 Retailer Survey on the Cost of Payment Methods: Estimation of the Total Private Cost for Large Businesses," Technical Reports 110, Bank of Canada.
    6. Barranco-Chamorro, I. & Jiménez-Gamero, M.D. & Mayor-Gallego, J.A. & Moreno-Rebollo, J.L., 2015. "A case-deletion diagnostic for penalized calibration estimators and BLUP under linear mixed models in survey sampling," Computational Statistics & Data Analysis, Elsevier, vol. 87(C), pages 18-33.
    7. Elena Castilla & Abhik Ghosh & Nirian Martin & Leandro Pardo, 2021. "Robust semiparametric inference for polytomous logistic regression with complex survey design," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 15(3), pages 701-734, September.
    8. Schmid, Timo & Tzavidis, Nikos & Münnich, Ralf & Chambers, Ray, 2015. "Outlier robust small area estimation under spatial correlation," Discussion Papers 2015/8, Free University Berlin, School of Business & Economics.

  12. Laurent, Thibault & Ruiz-Gazen, Anne & Thomas-Agnan, Christine, 2012. "GeoXp: An R Package for Exploratory Spatial Data Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 47(i02).
    See citations under working paper version above.
  13. Christophe Croux & Mohammed Fekri & Anne Ruiz-Gazen, 2010. "Fast and robust estimation of the multivariate errors in variables model," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 19(2), pages 286-303, August.

    Cited by:

    1. Thi Huong An Nguyen & Anne Ruiz-Gazen & Christine Thomas-Agnan & Thibault Laurent, 2019. "Multivariate Student versus Multivariate Gaussian Regression Models with Application to Finance," JRFM, MDPI, vol. 12(1), pages 1-21, February.
    2. Ana M. Bianco & Paula M. Spano, 2019. "Robust inference for nonlinear regression models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(2), pages 369-398, June.
    3. Bianco, Ana M. & Spano, Paula M., 2017. "Robust estimation in partially linear errors-in-variables models," Computational Statistics & Data Analysis, Elsevier, vol. 106(C), pages 46-64.

  14. C. Goga & J.-C. Deville & A. Ruiz-Gazen, 2009. "Use of functionals in linearization and composite estimation with application to two-sample survey data," Biometrika, Biometrika Trust, vol. 96(3), pages 691-709.

    Cited by:

    1. Wang, Jianqiang C., 2012. "Sample distribution function based goodness-of-fit test for complex surveys," Computational Statistics & Data Analysis, Elsevier, vol. 56(3), pages 664-679.
    2. Yves G. Berger & Emilio L. Escobar, 2017. "Variance Estimation of Imputed Estimators of Change for Repeated Rotating Surveys," International Statistical Review, International Statistical Institute, vol. 85(3), pages 421-438, December.
    3. Dioggban Jakperik & Romanus Otieno Odhiambo & George Otieno Orwa, 2019. "Inference on poverty indicators for Ghana," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 8(1), pages 1-4.

  15. Fekri, M. & Ruiz-Gazen, A., 2006. "Robust estimation in the simple errors-in-variables model," Statistics & Probability Letters, Elsevier, vol. 76(16), pages 1741-1747, October.

    Cited by:

    1. Eric Blankmeyer, 2018. "Measurement Errors as Bad Leverage Points," Papers 1807.02814, arXiv.org, revised Mar 2020.

  16. Croux, Christophe & Ruiz-Gazen, Anne, 2005. "High breakdown estimators for principal components: the projection-pursuit approach revisited," Journal of Multivariate Analysis, Elsevier, vol. 95(1), pages 206-226, July.

    Cited by:

    1. Fritz, H. & Filzmoser, P. & Croux, C., 2010. "A Comparison of Algorithms for the Multivariate L1-Median," Discussion Paper 2010-106, Tilburg University, Center for Economic Research.
    2. Brooks, J.P. & Dulá, J.H. & Boone, E.L., 2013. "A pure L1-norm principal component analysis," Computational Statistics & Data Analysis, Elsevier, vol. 61(C), pages 83-98.
    3. Sven Serneels, 2019. "Projection pursuit based generalized betas accounting for higher order co-moment effects in financial market analysis," Papers 1908.00141, arXiv.org.
    4. Kalogridis, Ioannis & Van Aelst, Stefan, 2019. "Robust functional regression based on principal components," Journal of Multivariate Analysis, Elsevier, vol. 173(C), pages 393-415.
    5. Hyndman, Rob J. & Shahid Ullah, Md., 2007. "Robust forecasting of mortality and fertility rates: A functional data approach," Computational Statistics & Data Analysis, Elsevier, vol. 51(10), pages 4942-4956, June.
    6. Debruyne, Michiel & Hubert, Mia & Van Horebeek, Johan, 2010. "Detecting influential observations in Kernel PCA," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3007-3019, December.
    7. Choulakian, V. & Allard, J. & Almhana, J., 2006. "Robust centroid method," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 737-746, November.
    8. Kondylis, Athanassios & Hadi, Ali S., 2006. "Derived components regression using the BACON algorithm," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 556-569, November.
    9. Luca Greco & Alessio Farcomeni, 2016. "A plug-in approach to sparse and robust principal component analysis," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(3), pages 449-481, September.
    10. Pires, Ana M. & Branco, João A., 2010. "Projection-pursuit approach to robust linear discriminant analysis," Journal of Multivariate Analysis, Elsevier, vol. 101(10), pages 2464-2485, November.
    11. Lanius, Vivian & Gather, Ursula, 2010. "Robust online signal extraction from multivariate time series," Computational Statistics & Data Analysis, Elsevier, vol. 54(4), pages 966-975, April.
    12. Lanius, Vivian & Gather, Ursula, 2007. "Robust online signal extraction from multivariate time series," Technical Reports 2007,38, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    13. Todorov, Valentin & Filzmoser, Peter, 2009. "An Object-Oriented Framework for Robust Multivariate Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 32(i03).
    14. Bali, Juan Lucas & Boente, Graciela, 2015. "Influence function of projection-pursuit principal components for functional data," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 173-199.
    15. Lee, Seokho & Shin, Hyejin & Billor, Nedret, 2013. "M-type smoothing spline estimators for principal functions," Computational Statistics & Data Analysis, Elsevier, vol. 66(C), pages 89-100.
    16. Stephane Heritier & Maria-Pia Victoria-Feser, 2018. "Discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample” by Andrea Cerioli, Marco Riani, Anthony C. Atkinson and Aldo Corbellini," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(4), pages 595-602, December.
    17. Ulrike Genschel, 2018. "The Effect of Data Contamination in Sliced Inverse Regression and Finite Sample Breakdown Point," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 80(1), pages 28-58, February.
    18. Rob J. Hyndman & Han Lin Shang, 2008. "Rainbow plots, Bagplots and Boxplots for Functional Data," Monash Econometrics and Business Statistics Working Papers 9/08, Monash University, Department of Econometrics and Business Statistics.
    19. Hubert, Mia & Rousseeuw, Peter & Verdonck, Tim, 2009. "Robust PCA for skewed data and its outlier map," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2264-2274, April.
    20. Claudio Agostinelli & Ana M. Bianco & Graciela Boente, 2020. "Robust estimation in single-index models when the errors have a unimodal density with unknown nuisance parameter," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 72(3), pages 855-893, June.
    21. Serneels, Sven & Verdonck, Tim, 2008. "Principal component analysis for data containing outliers and missing elements," Computational Statistics & Data Analysis, Elsevier, vol. 52(3), pages 1712-1727, January.
    22. Hervé Cardot & Antoine Godichon-Baggioni, 2017. "Fast estimation of the median covariation matrix with application to online robust principal components analysis," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 26(3), pages 461-480, September.
    23. Bali, Juan Lucas & Boente, Graciela, 2014. "Consistency of a numerical approximation to the first principal component projection pursuit estimator," Statistics & Probability Letters, Elsevier, vol. 94(C), pages 181-191.
    24. Graciela Boente & Matías Salibian-Barrera, 2015. "S -Estimators for Functional Principal Component Analysis," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(511), pages 1100-1111, September.
    25. Cevallos-Valdiviezo, Holger & Van Aelst, Stefan, 2019. "Fast computation of robust subspace estimators," Computational Statistics & Data Analysis, Elsevier, vol. 134(C), pages 171-185.
    26. Bali, Juan Lucas & Boente, Graciela, 2017. "Robust estimators under a functional common principal components model," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 424-440.
    27. Mani Bayani, 2021. "Robust PCA Synthetic Control," Papers 2108.12542, arXiv.org, revised Oct 2021.
    28. Stephan Morgenthaler, 2007. "A survey of robust statistics," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 15(3), pages 271-293, February.
    29. Marc Hallin & Davy Paindaveine & Thomas Verdebout, 2013. "Efficient R-Estimation of Principal and Common Principal Components," Working Papers ECARES ECARES 2013-18, ULB -- Universite Libre de Bruxelles.
    30. B. Barış Alkan, 2016. "Robust Principal Component Analysis Based on Modified Minimum Covariance Determinant in the Presence of Outliers," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 4(2), pages 85-94, September.
    31. Serneels, Sven & Verdonck, Tim, 2009. "Principal component regression for data containing outliers and missing elements," Computational Statistics & Data Analysis, Elsevier, vol. 53(11), pages 3855-3863, September.
    32. Graciela Boente & Frank Critchley & Liliana Orellana, 2007. "Influence functions of two families of robust estimators under proportional scatter matrices," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 15(3), pages 295-327, February.
    33. Václav Plevka & Pieter Segaert & Chris M. J. Tampère & Mia Hubert, 2016. "Analysis of travel activity determinants using robust statistics," Transportation, Springer, vol. 43(6), pages 979-996, November.
    34. Boente, Graciela & Molina, Julieta & Sued, Mariela, 2010. "On the asymptotic behavior of general projection-pursuit estimators under the common principal components model," Statistics & Probability Letters, Elsevier, vol. 80(3-4), pages 228-235, February.
    35. Hong, David & Balzano, Laura & Fessler, Jeffrey A., 2018. "Asymptotic performance of PCA for high-dimensional heteroscedastic data," Journal of Multivariate Analysis, Elsevier, vol. 167(C), pages 435-452.

  17. Fekri, M. & Ruiz-Gazen, A., 2004. "Robust weighted orthogonal regression in the errors-in-variables model," Journal of Multivariate Analysis, Elsevier, vol. 88(1), pages 89-108, January.

    Cited by:

    1. Fekri, M. & Ruiz-Gazen, A., 2006. "Robust estimation in the simple errors-in-variables model," Statistics & Probability Letters, Elsevier, vol. 76(16), pages 1741-1747, October.
    2. Cator, Eric A. & Lopuhaä, Hendrik P., 2010. "Asymptotic expansion of the minimum covariance determinant estimators," Journal of Multivariate Analysis, Elsevier, vol. 101(10), pages 2372-2388, November.
    3. Eric Blankmeyer, 2018. "Measurement Errors as Bad Leverage Points," Papers 1807.02814, arXiv.org, revised Mar 2020.
    4. Bianco, Ana M. & Spano, Paula M., 2017. "Robust estimation in partially linear errors-in-variables models," Computational Statistics & Data Analysis, Elsevier, vol. 106(C), pages 46-64.
    5. Kang-Mo Jung, 2007. "Least Trimmed Squares Estimator in the Errors-in-Variables Model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 34(3), pages 331-338.

  18. Caussinus, H. & Fekri, M. & Hakam, S. & Ruiz-Gazen, A., 2003. "A monitoring display of multivariate outliers," Computational Statistics & Data Analysis, Elsevier, vol. 44(1-2), pages 237-252, October.

    Cited by:

    1. Nordhausen, Klaus & Ruiz-Gazen, Anne, 2021. "On the usage of joint diagonalization in multivariate statistics," TSE Working Papers 21-1268, Toulouse School of Economics (TSE).
    2. Salem Reyen & John Miller & Edward Wegman, 2009. "Separating a mixture of two normals with proportional covariances," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 70(3), pages 297-314, November.
    3. Archimbaud, Aurore & Nordhausen, Klaus & Ruiz-Gazen, Anne, 2018. "ICS for multivariate outlier detection with application to quality control," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 184-199.
    4. David E. Tyler & Frank Critchley & Lutz Dümbgen & Hannu Oja, 2009. "Invariant co‐ordinate selection," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(3), pages 549-592, June.
    5. Laurent, Thibault & Ruiz-Gazen, Anne & Thomas-Agnan, Christine, 2009. "GeoXp: An R Package for Exploratory Spatial Data Analysis," TSE Working Papers 09-099, Toulouse School of Economics (TSE).

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 18 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (10) 2010-05-22 2019-03-25 2019-04-08 2019-07-29 2020-05-11 2020-11-30 2022-04-11 2022-07-25 2022-07-25 2024-01-15. Author is listed
  2. NEP-AGR: Agricultural Economics (3) 2016-07-09 2016-07-16 2020-05-11
  3. NEP-ORE: Operations Research (3) 2020-05-11 2020-11-30 2022-01-03
  4. NEP-CMP: Computational Economics (2) 2019-04-08 2022-03-28
  5. NEP-GEO: Economic Geography (2) 2010-05-22 2016-07-09
  6. NEP-POL: Positive Political Economics (2) 2018-10-22 2022-09-12
  7. NEP-URE: Urban and Real Estate Economics (2) 2010-05-22 2020-05-11
  8. NEP-BAN: Banking (1) 2022-04-11
  9. NEP-DCM: Discrete Choice Models (1) 2022-04-11
  10. NEP-ENE: Energy Economics (1) 2022-01-03
  11. NEP-ETS: Econometric Time Series (1) 2022-07-25
  12. NEP-FOR: Forecasting (1) 2016-07-16
  13. NEP-GEN: Gender (1) 2020-05-11
  14. NEP-GER: German Papers (1) 2016-07-16

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