2 papers
stat.ME2026
Comparing Variable Selection and Model Averaging Methods for Logistic Regression
Nikola Sekulovski, František Bartoš, Don van den Bergh +6
Model uncertainty is a central challenge in statistical models for binary outcomes such as logistic regression, arising when it is unclear which predictors should be included in th…
stat.ME2025
Flexible Bayesian Multiple Comparison Adjustment Using Dirichlet Process and Beta-Binomial Model Priors
Don van den Bergh, Fabian Dablander
Researchers frequently wish to assess the equality or inequality of groups, but this poses the challenge of adequately adjusting for multiple comparisons. Statistically, all possib…