17 citations · 87 across the 28 of their papers we have counts for
5 papers · 1 filter
Bayes Factor Hypothesis Testing in Meta-Analyses: Practical Advantages and Methodological Considerations
Joris Mulder, Robbie C. M. van Aert
Bayesian hypothesis testing via Bayes factors offers a principled alternative to classical p-value methods in meta-analysis, particularly suited to its cumulative and sequential na…
Invited Discussion of "Model Uncertainty and Missing Data: An Objective Bayesian Perspective" by Gonzalo García-Donato , María Eugenia Castellanos , Stefano Cabras Alicia Quirós , and Anabel Forte
Merlise A Clyde
The article by Garc{í}a-Donato and co-authors addresses the dual challenges of accounting for model uncertainty and missing data within the Gaussian regression frameworks from an o…
Comment on García-Donato et al. (2025) "Model uncertainty and missing data: An objective Bayesian perspective"
Joris Mulder
Garcia-Donato et al. (2025) present a methodology for handling missing data in a model selection problem using an objective Bayesian approach. The current comment discusses an alte…
To Vary or Not To Vary: A Flexible Empirical Bayes Factor for Testing Variance Components
Fabio Vieira, Hongwei Zhao, Joris Mulder
Random effects are the gold standard for capturing structural heterogeneity in data, such as spatial dependencies, individual differences, or temporal dependencies. However, testin…
Not All Bonds Are Created Equal: Dyadic Latent Class Models for Relational Event Data
Rumana Lakdawala, Roger Leenders, Joris Mulder
Dynamic social networks can be conceptualized as sequences of dyadic interactions between individuals over time. The relational event model has been the workhorse to analyze such i…