Tatjana Pavlenko

12 papers A 1Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Selection of signal-bearing subcompositions with application to human microbiome studies.
EURASIP J. Adv. Signal Process.
Tatjana Pavlenko, Annika Tillander, Fredrik Boulund, Gabriella Edfeldt
2023 J jnl
A Behrens-Fisher problem for general factor models in high dimensions.
J. Multivar. Anal.
Masashi Hyodo, Takahiro Nishiyama, Tatjana Pavlenko
2022 J jnl
Sequential sampling of junction trees for decomposable graphs.
Stat. Comput.
Jimmy Olsson, Tatjana Pavlenko, Felix L. Rios
2020 J jnl
Testing for independence of high-dimensional variables: ρV-coefficient based approach.
J. Multivar. Anal.
Masashi Hyodo, Takahiro Nishiyama, Tatjana Pavlenko
2018 J jnl
A U-classifier for high-dimensional data under non-normality.
J. Multivar. Anal.
M. Rauf Ahmad, Tatjana Pavlenko
2015 J jnl
Asymptotic properties of the misclassification rates for Euclidean Distance Discriminant rule in high-dimensional data.
J. Multivar. Anal.
Hiroki Watanabe, Masashi Hyodo, Takashi Seo, Tatjana Pavlenko
2013 J jnl
Bayesian Network Classifiers in a High Dimensional Framework
CoRR
Tatjana Pavlenko, Dietrich von Rosen
2012 — conf
Bayesian Block-Diagonal Predictive Classifier for Gaussian Data.
SMPS
Jukka Corander, Timo Koski, Tatjana Pavlenko, Annika Tillander
2010 J jnl
Credit risk modeling using bayesian networks.
Int. J. Intell. Syst.
Tatjana Pavlenko, Oleksandr Chernyak
2010 — conf
Exploiting Sparse Dependence Structure in Model Based Classification.
SMPS
Tatjana Pavlenko, Anders Björkström
2006 — conf
Scoring Feature Subsets for Separation Power in Supervised Bayes Classification.
SMPS
Tatjana Pavlenko, Hakan Fridén
2002 A conf
Bayesian Network Classifiers in a High Dimensional Framework.
UAI
Tatjana Pavlenko, Dietrich von Rosen