Bayesian Network Classifiers in a High Dimensional Framework. - Tatjana Pavlenko; Dietrich von Rosen (UAI, 2002)

Scoring Feature Subsets for Separation Power in Supervised Bayes Classification. - Tatjana Pavlenko; Hakan Fridén (SMPS, 2006)

Exploiting Sparse Dependence Structure in Model Based Classification. - Tatjana Pavlenko; Anders Björkström (SMPS, 2010)

Credit risk modeling using bayesian networks. - Tatjana Pavlenko; Oleksandr Chernyak (Int. J. Intell. Syst., 2010)

Bayesian Block-Diagonal Predictive Classifier for Gaussian Data. - Jukka Corander; Timo Koski; Tatjana Pavlenko; Annika Tillander (SMPS, 2012)

Asymptotic properties of the misclassification rates for Euclidean Distance Discriminant rule in high-dimensional data. - Hiroki Watanabe; Masashi Hyodo; Takashi Seo; Tatjana Pavlenko (J. Multivar. Anal., 2015)

A U-classifier for high-dimensional data under non-normality. - M. Rauf Ahmad; Tatjana Pavlenko (J. Multivar. Anal., 2018)

Testing for independence of high-dimensional variables: ρV-coefficient based approach. - Masashi Hyodo; Takahiro Nishiyama; Tatjana Pavlenko (J. Multivar. Anal., 2020)

Sequential sampling of junction trees for decomposable graphs. - Jimmy Olsson; Tatjana Pavlenko; Felix L. Rios (Stat. Comput., 2022)

A Behrens-Fisher problem for general factor models in high dimensions. - Masashi Hyodo; Takahiro Nishiyama; Tatjana Pavlenko (J. Multivar. Anal., 2023)