Peter Müller

A short tutorial on bayesian nonparametrics

2016 · Americanae (AECID Library)

Bayesian nonparametric (BNP) models are prior models for infinite-dimensional parameters, such as an unknown probability measure F or an unknown regression mean function f. We review some of the most widely used BNP priors, including …

Borrowing strength between unaligned binary time-series via Bayesian nonparametric rescaling of Unified Skewed Normal priors

2025 · arXiv (Cornell University)

We define a Bayesian semi-parametric model to effectively conduct inference with unaligned longitudinal binary data. The proposed strategy is motivated by data from the Human Epilepsy Project (HEP), which collects seizure occurrence data for epilepsy …