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Rates of convergence for the posterior distributions of mixtures of Betas and adaptive nonparametric estimation of the density. (2010). Rousseau, Judith.
In: Economics Papers from University Paris Dauphine.
RePEc:dau:papers:123456789/3984.

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  1. Semiparametric Bayesian estimation of dynamic discrete choice models. (2024). Shimizu, Kenichi ; Norets, Andriy.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:238:y:2024:i:2:s0304407623003585.

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  2. Quasi-Bayes in Latent Variable Models. (2023). Kankanala, Sid.
    In: Papers.
    RePEc:arx:papers:2311.06831.

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  3. Adaptive Bayesian Estimation of Discrete?Continuous Distributions Under Smoothness and Sparsity. (2022). Pelenis, Justinas ; Norets, Andriy.
    In: Econometrica.
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  4. Semiparametric Bayesian Estimation of Dynamic Discrete Choice Models. (2022). Shimizu, Kenichi ; Norets, Andriy.
    In: Working Papers.
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  5. Adaptive Bayesian estimation of conditional discrete-continuous distributions with an application to stock market trading activity. (2022). Pelenis, Justinas ; Norets, Andriy.
    In: Journal of Econometrics.
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  6. Semiparametric Bayesian Estimation of Dynamic Discrete Choice Models. (2022). Shimizu, Kenichi ; Norets, Andriy.
    In: Papers.
    RePEc:arx:papers:2202.04339.

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  7. Asymptotic properties of Bernstein estimators on the simplex. (2021). Ouimet, Frederic.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:185:y:2021:i:c:s0047259x21000622.

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  8. Variable selection in panel models with breaks. (2019). Zhu, Yinchu ; Timmermann, Allan ; Smith, Simon C.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:212:y:2019:i:1:p:323-344.

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  9. Novel and simple non-parametric methods of estimating the joint and marginal densities. (2016). Alghalith, Moawia.
    In: Physica A: Statistical Mechanics and its Applications.
    RePEc:eee:phsmap:v:454:y:2016:i:c:p:94-98.

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  10. Bayesian regression with nonparametric heteroskedasticity. (2015). Norets, Andriy.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:185:y:2015:i:2:p:409-419.

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  11. Bayesian Linear Regression with Conditional Heteroskedasticity. (2015). Zhao, Yanyun.
    In: DES - Working Papers. Statistics and Econometrics. WS.
    RePEc:cte:wsrepe:ws1504.

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  12. Bayesian Linear Regression with Conditional Heteroskedasticity. (2015). Zhao, Yanyun.
    In: IFCS - Working Papers in Economic History.WH.
    RePEc:cte:whrepe:ws1504.

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  13. Propriétés fréquentistes des méthodes Bayésiennes semi-paramétriques et non paramétriques. (2014). Salomond, Jean-Bernard .
    In: Economics Thesis from University Paris Dauphine.
    RePEc:dau:thesis:123456789/14331.

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  14. On Convergence Rates of Empirical Bayes Procedures. (2014). Scricciolo, Catia ; Rivoirard, Vincent ; Donnet, Sophie ; Rousseau, Judith.
    In: Economics Papers from University Paris Dauphine.
    RePEc:dau:papers:123456789/13437.

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  15. Semi-Parametric Inference in Dynamic Binary Choice Models. (2013). Norets, Andriy ; Tang, Xun.
    In: PIER Working Paper Archive.
    RePEc:pen:papers:13-054.

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  16. Bayesian Optimal Adaptive Estimation Using a Sieve prior. (2013). Gayraud, Ghislaine ; Arbel, Julyan ; Rousseau, Judith.
    In: Working Papers.
    RePEc:crs:wpaper:2013-19.

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  17. Bayesian Optimal Adaptive Estimation Using a Sieve Prior. (2013). Gayraud, Ghislaine ; Arbel, Julyan ; Rousseau, Judith.
    In: Scandinavian Journal of Statistics.
    RePEc:bla:scjsta:v:40:y:2013:i:3:p:549-570.

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  18. Lower bound for the oracle projection posterior convergence rate. (2011). Babenko, Alexandra ; Belitser, Eduard .
    In: Statistics & Probability Letters.
    RePEc:eee:stapro:v:81:y:2011:i:2:p:175-180.

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References

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  3. Ghosal, S. (2001). Convergence rates for density estimation with Bernstein polynomials. Ann. Statist. 29 1264-1280. MR1873330
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  10. Marin, J.M. , Mengersen, K. and Robert, C.P. (2005). Bayesian modelling and inference on mixtures of distributions Handbook of Statistics 25 16, 459-507. imsart-aos ver. 2007/12/10 file: betannalsrev1.tex date: October 7, POSTERIOR CONVERGENCE OF MIXTURES OF BETAS DENSITIES 39

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  12. McVinish, R. , Rousseau, J. and Mengerson, K. (2005): Bayesian goodness of fit testing with mixtures of triangular distributions. Preprint
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  14. Rousseau, J. (2007). Approximating Interval hypothesis : p-values and Bayes factors. Bayesian Statistics 8 (J. M. Bernardo, J. O. Berger, A. P. Dawid and A. F. M. Smith, eds.) Oxford: University Press.
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  15. Scricciolo, C. (2001) Convergence rates of posterior distributions for Dirichlet mixtures of normal densities. Working paper 2001.21 Univ. Padova CEREMADE Universite Paris Dauphine, Place du Marechal deLattre de Tassigny 75016 Paris, FRANCE. E-mail: rousseau@ceremade.dauphine.fr imsart-aos ver. 2007/12/10 file: betannalsrev1.tex date: October 7,
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