Wicher Bergsma

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Tamas RudasVerified email at elte.hu
jacques a. hagenaarsprofessor emeritus tilburg univeristyVerified email at uvt.nl
Angelos DassiosLondon School of Economics and Political ScienceVerified email at lse.ac.uk
Renáta NémethProfessor, Dept. of Statistics, Research Center for Computational Social Science, Faculty of SocialVerified email at tatk.elte.hu
Giovanni Maria MarchettiProfessor of StatisticsVerified email at unifi.it
Rudy LigtvoetUniversity Hospital of CologneVerified email at uk-koeln.de
Klaas SijtsmaVerified email at tilburguniversity.edu
Monia LupparelliUniversity of FlorenceVerified email at unifi.it
Subhra Sankar DharProfessor, Indian Institute of Technology, KanpurVerified email at iitk.ac.in
Dino SejdinovicProfessor of Statistical Machine Learning, University of AdelaideVerified email at adelaide.edu.au
Arthur GrettonGatsby Computational Neuroscience Unit and Google DeepmindVerified email at gatsby.ucl.ac.uk
Jeroen K VermuntProfessor of Methodology and Statistics, Tilburg UniversityVerified email at uvt.nl
Haziq JamilUniversiti Brunei DarussalamVerified email at ubd.edu.bn
Lexin LiProfessor of Biostatistics, University of California, BerkeleyVerified email at berkeley.edu
Qiwei YaoLondon School of EconomicsVerified email at lse.ac.uk
Henry P WynnLondon School of Economics and Alan Turing Institute, LondonVerified email at lse.ac.uk
Alessandro Di BucchianicoAssociate Professor of Statistics, Eindhoven University of TechnologyVerified email at tue.nl
Marie-Abele BindHarvard UniversityVerified email at mail.harvard.edu
Young LeeHarvard UniversityVerified email at fas.harvard.edu
Tianlin Xu

Wicher Bergsma

Professor, London School of Economics

Verified email at lse.ac.uk - Homepage

Statistics kernel methods categorical data analysis statistical learning graphical models


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Marginal models for categorical data WP Bergsma, T Rudas The Annals of Statistics 30 (1), 140-159, 2002	205	2002
A bias-correction for Cramér’s V and Tschuprow’s T W Bergsma Journal of the Korean Statistical Society 42 (3), 323-328, 2013	193	2013
A consistent test of independence based on a sign covariance related to Kendall's tau W Bergsma, A Dassios Bernoulli, 1006-1028, 2014	167	2014
Marginal Models: For Dependent, Clustered, and Longitudinal Categorical Data W Bergsma, MA Croon, JA Hagenaars Springer, 2009	121	2009
Marginal models for categorical data WP Bergsma Tilburg University Press, 1997	103	1997
Testing conditional independence for continuous random variables WP Bergsma Eurandom, 2004	86	2004
A kernel test for three-variable interactions D Sejdinovic, A Gretton, W Bergsma Advances in neural information processing systems 26, 2013	60	2013
Bayesian posterior estimation of logit parameters with small samples F Galindo-Garre, JK Vermunt, WP Bergsma Sociological Methods & Research 33 (1), 88-117, 2004	59	2004
Polytomous latent scales for the investigation of the ordering of items R Ligtvoet, LA Van der Ark, WP Bergsma, K Sijtsma Psychometrika 76, 200-216, 2011	58	2011
Marginal log-linear parameterization of conditional independence models T Rudas, WP Bergsma, R Németh Biometrika, 2010	49	2010
A note on stochastic ordering of the latent trait using the sum of polytomous item scores LA Van der Ark, WP Bergsma Psychometrika 75, 272-279, 2010	46	2010
Nonparametric testing of conditional independence by means of the partial copula W Bergsma arXiv preprint arXiv:1101.4607, 2011	44	2011
Parameterizations and fitting of bi‐directed graph models to categorical data M Lupparelli, GM Marchetti, WP Bergsma Scandinavian journal of Statistics 36 (3), 559-576, 2009	44*	2009
On applications of marginal models for categorical data T Rudas, W Bergsma Metron 62 (1), 15-37, 2004	27*	2004
Double generative adversarial networks for conditional independence testing C Shi, T Xu, W Bergsma, L Li Journal of Machine Learning Research 22 (285), 1-32, 2021	25	2021
Parameterization and estimation of path models for categorical data T Rudas, W Bergsma, R Németh Compstat 2006-Proceedings in Computational Statistics: 17th Symposium Held …, 2006	24	2006
Modeling conditional and marginal association in contingency tables WP Bergsma, T Rudas Annales de la Faculté des sciences de Toulouse: Mathématiques 11 (4), 455-468, 2002	21	2002
A study of the power and robustness of a new test for independence against contiguous alternatives SS Dhar, A Dassios, W Bergsma	20	2016
Analyzing change in categorical variables by generalized log-linear models MA Croon, W Bergsma, JA Hagenaars Sociological methods & research 29 (2), 195-229, 2000	19	2000
On a New Correlation Coefficient, its Orthogonal Decomposition, and Associated Tests of Independence W Bergsma Available at SSRN 905093, 2005	18	2005

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