Wicher Bergsma

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Testing conditional independence for continuous random variables

Wicher P. Bergsma, Wicher Bergsma, Wicher P Bergsma, 2004 .

Marginal models for categorical data

Wicher P. Bergsma, Wicher Bergsma, T. Rudas, 2002 .

On a New Correlation Coefficient, its Orthogonal Decomoposition, and Associated Tests of Independence

Wicher P. Bergsma, Wicher Bergsma, Wicher P Bergsma, 2005, math/0604627.

Nonparametric Testing of Conditional Independence by Means of the Partial Copula

Wicher P. Bergsma, Wicher Bergsma, Wicher P Bergsma, 2010, 1101.4607.

A consistent test of independence based on a sign covariance related to Kendall's tau

Wicher P. Bergsma, Wicher Bergsma, A. Dassios, 2010, 1007.4259.

A study of the power and robustness of a new test for independence against contiguous alternatives

Wicher P. Bergsma, Wicher Bergsma, A. Dassios, 2016 .

Testing Independence of Covariates and Errors in Non‐parametric Regression

Wicher P. Bergsma, Wicher Bergsma, A. Dassios, 2018 .

Analyzing Change in Categorical Variables by Generalized Log-Linear Models

J. Hagenaars, Wicher Bergsma, M. Croon, 2000 .

Regression with I-priors

Wicher Bergsma, 2017, Econometrics and Statistics.

Marginal log-linear parameterization of conditional independence models

Wicher P. Bergsma, Wicher Bergsma, T. Rudas, 2010 .

A bias-correction for Cramér’s and Tschuprow’s

Wicher Bergsma, Wicher Bergsma, Wicher P Bergsma, 2013 .

ST ] 2 8 A pr 2 00 6 ON A NEW CORRELATION COEFFICIENT , ITS ORTHOGONAL DECOMPOSITION AND ASSOCIATED TESTS OF INDEPENDENCE By

Wicher Bergsma, Wicher P Bergsma, 2020 .

Bayesian Variable Selection for Linear Models Using I-Priors

Wicher Bergsma, Haziq Jamil, Wicher P Bergsma, 2020 .

Polytomous Latent Scales for the Investigation of the Ordering of Items

Klaas Sijtsma, Wicher Bergsma, L. Andries van der Ark, 2011 .

iprior: An R Package for Regression Modelling using I-priors.

Wicher P. Bergsma, Wicher Bergsma, Haziq Jamil, 2019, 1912.01376.

A note on the distribution of the partial correlation coefficient with nonparametrically estimated marginal regressions

Wicher Bergsma, 2011, 1101.4616.

Analyzing categorial data by marginal models

Wicher Bergsma, Marcel A. Croon, Wicher Bergsma, 2005 .

Comparing Estimation Methods for Categorical Marginal Models

Wicher P. Bergsma, Wicher Bergsma, L. V. D. Ark, 2015 .

Bayesian Posterior Estimation of Logit Parameters with Small Samples

Jeroen K. Vermunt, Wicher P. Bergsma, J. Vermunt, 2004 .

A Kernel Test for Three-Variable Interactions

Arthur Gretton, Dino Sejdinovic, Wicher Bergsma, 2013, NIPS.

Marginal Models: an Overview

Wicher Bergsma, T. Rudas, Wicher P Bergsma, 2023, 2304.03380.

Double Generative Adversarial Networks for Conditional Independence Testing

Wicher P. Bergsma, Wicher Bergsma, Lexin Li, 2020, J. Mach. Learn. Res..

Estimation for Dynamic and Static Panel Probit Models with Large Individual Effects

Wicher Bergsma, Q. Yao, Wei Gao, 2014, 1409.7776.

Bayesian causal inference for count potential outcomes

Young Lee, Wicher P. Bergsma, Marie-Abele C. Bind, 2020, 2008.03271.

Nonloglinear marginal latent class models

Wicher P. Bergsma, J. Hagenaars, Wicher Bergsma, 2019 .

Marginal conditional independence models with application to graphical modeling

Tamás Rudas, Wicher Bergsma, Wicher Bergsma, 2009 .

Parameterizations and Fitting of Bi‐directed Graph Models to Categorical Data

Monia Lupparelli, Giovanni M. Marchetti, Wicher P. Bergsma, 2008, 0801.1440.

Causal Modeling with Stochastic Confounders

Pengfei Wei, Thanh Vinh Vo, Wicher Bergsma, 2020, AISTATS.

A Causal Modeling Framework with Stochastic Confounders

Thanh Vinh Vo, Wicher P. Bergsma, Wicher Bergsma, 2020, ArXiv.

Additive interaction modelling using I-priors

Wicher Bergsma, Haziq Jamil, Wicher P Bergsma, 2020, 2007.15766.

Conditional and marginal association in contingency tables

Wicher Bergsma, T. Rudas, Wicher P Bergsma, 2002 .

Regression modelling with I-priors

Wicher Bergsma, Haziq Jamil, Wicher P Bergsma, 2020 .