Combining the Strengths of Dutch Survey and Register Data in a Data Challenge to Predict Fertility (PreFer)

1 code implementation • 1 Feb 2024 • Elizaveta Sivak, Paulina Pankowska, Adrienne Mendrik, Tom Emery, Javier Garcia-Bernardo, Seyit Hocuk, Kasia Karpinska, Angelica Maineri, Joris Mulder, Malvina Nissim, Gert Stulp

We outline the ways in which measuring the predictability of fertility outcomes using these datasets and combining their strengths in the data challenge can advance our understanding of fertility behaviour and computational social science.

A Latent Variable Model for Relational Events with Multiple Receivers

no code implementations • 13 Jan 2021 • Joris Mulder, Peter D. Hoff

In this paper a multiplicative latent factor model is proposed to analyze such relational data.

Methodology

BFpack: Flexible Bayes Factor Testing of Scientific Theories in R

2 code implementations • 18 Nov 2019 • Joris Mulder, Xin Gu, Anton Olsson-Collentine, Andrew Tomarken, Florian Böing-Messing, Herbert Hoijtink, Marlyne Meijerink, Donald R. Williams, Janosch Menke, Jean-Paul Fox, Yves Rosseel, Eric-Jan Wagenmakers, Caspar van Lissa

There has been a tremendous methodological development of Bayes factors for hypothesis testing in the social and behavioral sciences, and related fields.

Computation