2 citations · 2 across the 1 of their papers we have counts for
3 papers
stat.ME2022★ 2 cited
The interventional Bayesian Gaussian equivalent score for Bayesian causal inference with unknown soft interventions
Jack Kuipers, Giusi Moffa
Describing the causal relations governing a system is a fundamental task in many scientific fields, ideally addressed by experimental studies. However, obtaining data under interve…
stat.CO2021
Bayesian structure learning and sampling of Bayesian networks with the R package BiDAG
Polina Suter, Jack Kuipers, Giusi Moffa +1
The R package BiDAG implements Markov chain Monte Carlo (MCMC) methods for structure learning and sampling of Bayesian networks. The package includes tools to search for a maximum…
math.ST2020
The Variance of Causal Effect Estimators for Binary V-structures
Jack Kuipers, Giusi Moffa
Adjusting for covariates is a well established method to estimate the total causal effect of an exposure variable on an outcome of interest. Depending on the causal structure of th…