Paul‐Christian Bürkner

University of Stuttgart — Germany

Mathematics · Physical Sciences

39h-index15.3kcitations282works2.92yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Statistical Methods and Bayesian Inference(39), Gaussian Processes and Bayesian Inference(34), Statistical Methods and Inference(28), Bayesian Modeling and Causal Inference(26), Mental Health Research Topics(21)

Publications282 total

Improving the Accuracy of Amortized Model Comparison with Self-Consistency
arXiv (Cornell University)·2025Open Access
Does political trust strengthen democracy?
2025Open Access
Bayesian beta regressions with brms in R: A tutorial for phoneticians
2025Open Access
Bayesian beta regressions with brms in R: A tutorial for phoneticians
Journal of Phonetics·2025Open Access
Bayesian multivariate linear mixed effects models for speech research: a tutorial using brms
2025Open Access
A general method for estimating reliability using Bayesian Measurement Uncertainty
2025· 1 citedOpen Access
Eight years of social and asocial learning synergistically shape orangutan diet profiles
2025Open Access
Precise temporal localisation of M/EEG effects with Bayesian generalised additive multilevel models
2025· 1 citedOpen Access
Beyond feeling down: Expectations about and memories of daily affective experiences in major depression and borderline personality disorder
2025Open Access
Improving the Accuracy of Amortized Model Comparison with Self-Consistency
arXiv (Cornell University)·2025Open Access
Does political trust strengthen democracy?
2025Open Access
Simulation-based validation of Bayes factor computation
arXiv (Cornell University)·2025Open Access
R2 priors for Grouped Variance Decomposition in High-dimensional Regression
arXiv (Cornell University)·2025Open Access
Bayesian beta regressions with brms in R: A tutorial for phoneticians
2025Open Access
Expert-elicitation method for non-parametric joint priors using normalizing flows
Statistics and Computing·2025· 1 cited
DGP-LVM: Derivative Gaussian process latent variable models
Statistics and Computing·2025· 1 citedOpen Access
Amortized Bayesian Cognitive Modeling with BayesFlow
2025Open Access
Hilbert space methods for approximating multi-output latent variable Gaussian processes
ArXiv.org·2025Open Access
Efficient Uncertainty Propagation in Bayesian Two-Step Procedures
arXiv (Cornell University)·2025Open Access
Dependency-Aware Shrinkage Priors for High Dimensional Regression
arXiv (Cornell University)·2025Open Access
page 1 of 15Next →

Frequent Co-authors

Aki Vehtari(10), Heinz Holling(7), Jonah Gabry(5), Topi Paananen(4), Andrew Gelman(4), Donald R. Williams(4), Yuling Yao(3), Andreas Johnen(3), Nils C. Landmeyer(3), Sven G. Meuth(3), Ulrike Buhlmann(3), Matti Vuorre(2), Martin Modrák(2), Ulrike Zetsche(2), Heinz Wiendl(2), Maren Reinhold(2), Matthew W Jordon(2), Gillian Petrokofsky(2), Katherine J. Willis(2), Philipp Doebler(2)