17 citations · 87 across the 28 of their papers we have counts for
4 papers · 1 filter
To Vary or Not To Vary: A Simple Empirical Bayes Factor for Testing Variance Components
Fabio Vieira, Hongwei Zhao, Joris Mulder
Random effects are a flexible addition to statistical models to capture structural heterogeneity in the data, such as spatial dependencies, individual differences, temporal depende…
Comment on "Safe Testing" by Grünwald, de Heide, and Koolen
Joris Mulder
This comment briefly reflects on "Safe Testing" by Grüwald et al. (2024). The safety of fractional Bayes factors (O'Hagan, 1995) is illustrated and compared to (safe) Bayes factors…
Combining the Strengths of Dutch Survey and Register Data in a Data Challenge to Predict Fertility (PreFer)
Elizaveta Sivak, Paulina Pankowska, Adrienne Mendrik +8
The social sciences have produced an impressive body of research on determinants of fertility outcomes, or whether and when people have children. However, the strength of these det…
Simulating Relational Event Histories: Why and How
Rumana Lakdawala, Joris Mulder, Roger Leenders
Many important social phenomena are characterized by repeated interactions among individuals over time such as email exchanges in an organization or face-to-face interactions in a…