3 papers
stat.ME2021
Bayesian Semiparametric Hidden Markov Tensor Partition Models for Longitudinal Data with Local Variable Selection
Giorgio Paulon, Peter Müller, Abhra Sarkar
We present a flexible Bayesian semiparametric mixed model for longitudinal data analysis in the presence of potentially high-dimensional categorical covariates. Building on a novel…
stat.ME2020
Bayesian Nonparametric Bivariate Survival Regression for Current Status Data
Giorgio Paulon, Peter Müller, Victor G. Sal Y Rosas
We consider nonparametric inference for event time distributions based on current status data. We show that in this scenario conventional mixture priors, including the popular Diri…
stat.ME2019
Bayesian Semiparametric Longitudinal Drift-Diffusion Mixed Models for Tone Learning in Adults
Giorgio Paulon, Fernando Llanos, Bharath Chandrasekaran +1
Understanding how adult humans learn non-native speech categories such as tone information has shed novel insights into the mechanisms underlying experience-dependent brain plastic…