Bayesian Mixture Models, Non-local Prior Formulations and MCMC Algorithms

The UCI Department of Statistics is proud to present Jairo Fúquene Patiño, Assistant Professor, Statistics UC Davis. This seminar will be in person for designated Statistics students and on zoom for everyone else.

Join via Zoom: https://uci.zoom.us/j/95980103393?pwd=RDFRNTYxRXYwUnZFQVN6K3JmM1ZJdz09

Abstract:
In this talk I will present the use of Bayesian mixture models in practical settings. I will also discuss Non-local prior alternatives for mixture distributions and Markov Chain Monte Carlo algorithms for posterior inference and model selection. This talk is motivated with real examples.