9 citations · 14 across the 4 of their papers we have counts for
4 papers
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…
A Puzzle of Proportions: Two Popular Bayesian Tests Can Yield Dramatically Different Conclusions
Fabian Dablander, Karoline Huth, Quentin F. Gronau +2
Testing the equality of two proportions is a common procedure in science, especially in medicine and public health. In these domains it is crucial to be able to quantify evidence f…
Quantifying agent impacts on contact sequences in social interactions
Mark M. Dekker, Tessa F. Blanken, Fabian Dablander +3
Human social behavior plays a crucial role in how pathogens like SARS-CoV-2 or fake news spread in a population. Social interactions determine the contact network among individuals…
Default Bayes Factors for Testing the (In)equality of Several Population Variances
Fabian Dablander, Don van den Bergh, Eric-Jan Wagenmakers +1
Testing the (in)equality of variances is an important problem in many statistical applications. We develop default Bayes factor tests to assess the (in)equality of two or more popu…