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Tatjana Pavlenko
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2020 – today
- 2023
- [j6]Masashi Hyodo, Takahiro Nishiyama, Tatjana Pavlenko:
A Behrens-Fisher problem for general factor models in high dimensions. J. Multivar. Anal. 195: 105162 (2023) - 2022
- [j5]Jimmy Olsson, Tatjana Pavlenko, Felix L. Rios
:
Sequential sampling of junction trees for decomposable graphs. Stat. Comput. 32(5): 80 (2022) - 2020
- [j4]Masashi Hyodo, Takahiro Nishiyama
Testing for independence of high-dimensional variables: ρV-coefficient based approach. J. Multivar. Anal. 178: 104627 (2020)
2010 – 2019
- 2018
- [j3]M. Rauf Ahmad, Tatjana Pavlenko:
A U-classifier for high-dimensional data under non-normality. J. Multivar. Anal. 167: 269-283 (2018) - 2015
- [j2]Hiroki Watanabe, Masashi Hyodo
Asymptotic properties of the misclassification rates for Euclidean Distance Discriminant rule in high-dimensional data. J. Multivar. Anal. 140: 234-244 (2015) - 2013
- [i1]Tatjana Pavlenko, Dietrich von Rosen:
Bayesian Network Classifiers in a High Dimensional Framework. CoRR abs/1301.0593 (2013) - 2012
- [c4]Jukka Corander, Timo Koski, Tatjana Pavlenko, Annika Tillander:
Bayesian Block-Diagonal Predictive Classifier for Gaussian Data. SMPS 2012: 543-551 - 2010
- [j1]Tatjana Pavlenko, Oleksandr Chernyak
Credit risk modeling using bayesian networks. Int. J. Intell. Syst. 25(4): 326-344 (2010) - [c3]Tatjana Pavlenko, Anders Björkström:
Exploiting Sparse Dependence Structure in Model Based Classification. SMPS 2010: 509-517
2000 – 2009
- 2006
- [c2]Tatjana Pavlenko, Hakan Fridén:
Scoring Feature Subsets for Separation Power in Supervised Bayes Classification. SMPS 2006: 383-391 - 2002
- [c1]Tatjana Pavlenko, Dietrich von Rosen:
Bayesian Network Classifiers in a High Dimensional Framework. UAI 2002: 397-404
Coauthor Index
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