153 citations · 212 across the 15 of their papers we have counts for
16 papers
Bergsma--Dassios sign covariance with ties: a nonnegative decomposition and sharp bounds
Wicher Bergsma, Angelos Dassios
We construct tie-symmetrised extensions and of the unnormalised Hoeffding and Blum--Kiefer--Rosenblatt functionals and and prove, for every re…
Hierarchical additive interaction modelling with Gaussian process prior and its efficient implementation for multidimensional grid data
Sahoko Ishida, Francesca Panero, Wicher Bergsma
Additive Gaussian process (GP) models offer flexible tools for modelling complex non-linear relationships and interaction effects among covariates. While most studies have focused…
Marginal Models: an Overview
Tamas Rudas, Wicher Bergsma
Marginal models involve restrictions on the conditional and marginal association structure of a set of categorical variables. They generalize log-linear models for contingency tabl…
Bayesian causal inference for count potential outcomes
Young Lee, Wicher P. Bergsma, Marie-Abele C. Bind
The literature for count modeling provides useful tools to conduct causal inference when outcomes take non-negative integer values. Applied to the potential outcomes framework, we…
Additive interaction modelling using I-priors
Wicher Bergsma, Haziq Jamil
Additive regression models with interactions are widely studied in the literature, using methods such as splines or Gaussian process regression. However, these methods can pose cha…
Double Generative Adversarial Networks for Conditional Independence Testing
Chengchun Shi, Tianlin Xu, Wicher Bergsma +1
In this article, we study the problem of high-dimensional conditional independence testing, a key building block in statistics and machine learning. We propose an inferential proce…