Sara van Erp

Dr. Sara van Erp is Assistant Professor in Methodology and Statistics at Utrecht University. She develops Bayesian statistical methods for complex behavioral data analysis, with emphasis on regularization techniques for structural equation modeling.

Methodological Research: Her VENI-funded project advances Bayesian regularized SEM frameworks to improve model accuracy with limited data. She creates open-source software tools including R packages for Bayesian regularization.

Academic Contributions:

Dr. van Erp has introduced innovative approaches for prior sensitivity analysis and shrinkage priors in latent variable models. Her work helps researchers address overparameterization problems in psychological measurement.