3 papers
stat.ME2025
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…
stat.ME2024
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…
stat.ME2023
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…