3 citations · 4 across the 4 of their papers we have counts for
4 papers · 1 filter
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…
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…
Fast Meta-Analytic Approximations for Relational Event Models: Applications to Data Streams and Multilevel Data
Fabio Vieira Roger Leenders Joris Mulder
Large relational-event history data stemming from large networks are becoming increasingly available due to recent technological developments (e.g. digital communication, online da…
A Bayesian actor-oriented multilevel relational event model with hypothesis testing procedures
Fabio Vieira, Roger Leenders, Daniel McFarland +1
Relational event network data are becoming increasingly available. Consequently, statistical models for such data have also surfaced. These models mainly focus on the analysis of s…