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stat.ME2025
Going With the Flow: Normalizing Flows for Gaussian Process Regression under Hierarchical Shrinkage Priors
Peter Knaus
Gaussian Process Regression (GPR) is a powerful tool for nonparametric regression, but its application in a fully Bayesian fashion in high-dimensional settings is hindered by two p…
stat.ME2025
Flexible yet Sparse Bayesian Survival Models with Time-Varying Coefficients and Unobserved Heterogeneity
Peter Knaus, Daniel Winkler, Sebastian F. Schoppmann +1
Survival analysis is an important area of medical research, yet existing models often struggle to balance simplicity with flexibility. Simple models require minimal adjustments but…