受强制性开放获取政策约束的文章 - Tatjana Pavlenko了解详情
可在其他位置公开访问的文章：12 篇
Testing linear hypotheses of mean vectors for high-dimension data with unequal covariance matrices
T Nishiyama, M Hyodo, T Seo, T Pavlenko
Journal of Statistical Planning and Inference 143 (11), 1898-1911, 2013
强制性开放获取政策： Swedish Research Council
Credit risk modeling using Bayesian networks
T Pavlenko, O Chernyak
International Journal of Intelligent Systems 25 (4), 326-344, 2010
强制性开放获取政策： Swedish Research Council
Covariance structure approximation via gLasso in high-dimensional supervised classification
T Pavlenko, A Björkström, A Tillander
Journal of Applied Statistics 39 (8), 1643-1666, 2012
强制性开放获取政策： Swedish Research Council
Goodness-of-fit tests based on sup-functionals of weighted empirical processes
N Stepanova, T Pavlenko
Theory of Probability & Its Applications 63 (2), 292-317, 2018
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada
Sequential sampling of junction trees for decomposable graphs
J Olsson, T Pavlenko, FL Rios
Statistics and computing 32 (5), 80, 2022
强制性开放获取政策： Swedish Research Council
Bayesian learning of weakly structural Markov graph laws using sequential Monte Carlo methods
J Olsson, T Pavlenko, FL Rios
强制性开放获取政策： Swedish Research Council
Lung aeration during sleep in patients with obstructive sleep apnoea
J Appelberg, C Janson, E Lindberg, T Pavlenko, G Hedenstierna
Clinical Physiology and Functional Imaging 30 (4), 301-307, 2010
强制性开放获取政策： Swedish Research Council
Multiple comparison procedures for high-dimensional data and their robustness under non-normality
S Takahashi, M Hyodo, T Nishiyama, T Pavlenko
Journal of the Japanese Society of Computational Statistics 26 (1), 71-82, 2013
强制性开放获取政策： Swedish Research Council
Constrained linear discriminant rule via the Studentized classification statistic based on monotone missing data
N Shutoh, M Hyodo, T Pavlenko, T Seo
SUT Journal of Mathematics 48 (1), 55-69, 2012
强制性开放获取政策： Swedish Research Council
Adaptive threshold-based classification of sparse high-dimensional data
T Pavlenko, N Stepanova, L Thompson
Electronic Journal of Statistics 16 (1), 1952-1996, 2022
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada
Performance Accuracy of Linear classifiers for Two-level Multivariate Observations in High-dimensional Framework
A Roy, T Pavlenko
强制性开放获取政策： Swedish Research Council
Supervised classifiers of ultra high-dimensional higher-order data with locally doubly exchangeable covariance structure
T Pavlenko, A Roy
College of Business, University of Texas at San Antonio Working Papers, 2013
强制性开放获取政策： Swedish Research Council
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