Rate My Professor Jochen Einbeck

Einbeck's research interests encompass nonparametric smoothing, random effect modelling, mixture models, principal curves, and statistical biodosimetry. He has contributed extensively to statistical modelling applications in radiation biodosimetry, educational trials, and multivariate data analysis. Notable publications include his editorship of the book 'Developments in Statistical Modelling: Contributions to the IWSM 2024' (Springer, forthcoming), chapters such as 'A Distance-Based Statistic for Goodness-of-Fit Assessment' (2024), 'Estimating Dose and Time of Exposure from a Protein-Based Radiation Biomarker' (2024, with Cai, Barnard, and Ainsbury), 'Tools for Assessing Goodness of Fit of GLMs: Case Studies in Entomology' (2024), and 'On the Use of Random Effect Models for Radiation Biodosimetry' (2017). He has presented numerous conference papers, including 'Longitudinal analysis of educational outcomes' (2025) and 'A Robust Bayesian Approach for Causal Inference Problems' (2023). Einbeck holds editorial positions as Associate Editor for Advances in Statistical Analysis and Statistical Modelling: An International Journal, and serves as Representative for Working Group Communication on the Executive Committee of the Statistical Modelling Society. He chaired the International Workshop on Statistical Modelling in 2024 and has supervised PhD theses on topics including radiation biodosimetry, latent variable models for clustering and dimension reduction, imprecise regularization, and response transformation models with random effects.