Author

J. Mulder

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Oct 2026

Bayes Factor Testing of Linear and Nonlinear Effects in Additive Gaussian Process Regression

Gaussian process regression flexibly models nonlinear relationships between predictors and an outcome variable. A central question in this modeling framework is whether each predictor affects the outcome linearly, nonlinearly, or not at all. We propose a Bayesian testing framework for this problem within additive Gauss...

Yue-Heng Wu, Joran Jongerling, J. Mulder · 0 citations

#machine learning Review Sep 2026

Births are difficult to predict even with rich survey and full-population register data

Major life events have proven difficult to predict. Does this reflect limits of theory, data, and algorithms, or the large role of chance? We examine one outcome - having a child within three years - through a near-ideal setting for prediction: a data challenge where 147 researchers predicted births for Dutch residents...

E. Sivak, Emily M Cantrell, Thomas Emery et al. · 0 citations