2026
Comparing variable selection and model averaging methods for logistic regression
Proceedings of the National Academy of Sciences
doi.org/10.1073/pnas.2534552123Psychological Methods · Bayesian Modeling · JASP
Henrik Godmann
I am a PhD candidate at the Psychological Methods Department of the University of Amsterdam. My work focuses on robust Bayesian inference, interrupted and non-linear time series, state-space models, and statistical software for applied researchers.
Selected Publications
Recent papers and preprints.
2026
No data left behind: A primer on Bayesian state-space models for acceptance sampling
PsyArXiv preprint
osf.io/preprints/psyarxiv/3uh85_v12026
Belief, evidence, and predictions in simple Bayesian acceptance sampling plans with JASP
PsyArXiv preprint
osf.io/preprints/psyarxiv/8rv2z_v12025
Truncating the likelihood allows outlier exclusion without overestimating the evidence in the Bayes factor t test
Psychological Methods
dx.doi.org/10.1037/met00007822025
A Tutorial on Assessing Measurement Invariance with Moderated Non-Linear Factor Analysis in JASP
PsyArXiv preprint
osf.io/preprints/psyarxiv/6ftqg_v1Software
Methods that leave the paper.
RoBTT
Co-developer of the R package for robust Bayesian t tests.
JASP Services B.V.Co-founder, supporting companies using JASP for quality control and data analysis.
JASP Modules
Bayesian acceptance sampling, quality control, time series, and state-space models.
Contact