153 citations · 212 across the 15 of their papers we have counts for
6 papers · 1 filter
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…
iprior: An R Package for Regression Modelling using I-priors
Haziq Jamil, Wicher Bergsma
This is an overview of the R package iprior, which implements a unified methodology for fitting parametric and nonparametric regression models, including additive models, multileve…
Estimation for Dynamic and Static Panel Probit Models with Large Individual Effects
Wei Gao, Wicher Bergsma, Qiwei Yao
For discrete panel data, the dynamic relationship between successive observations is often of interest. We consider a dynamic probit model for short panel data. A problem with esti…
A Kernel Test for Three-Variable Interactions
Dino Sejdinovic, Arthur Gretton, Wicher Bergsma
We introduce kernel nonparametric tests for Lancaster three-variable interaction and for total independence, using embeddings of signed measures into a reproducing kernel Hilbert s…