Event

Eugenio will briefly introduce Bayesian models for small area estimation and describe an application to tract-level mortality rates in Massachusetts. These methods are potentially useful in a variety of settings when researchers have to deal with complete but sparse data.

About Eugenio Paglino: Eugenio is a fourth-year joint PhD student in Demography and Sociology and M.A. candidate in Statistics and Data Science at the Wharton School. He applies Bayesian statistics, data science tools, and demographic methods to the study of population processes. His broad research interests include the interaction between environmental change and population processes, health and mortality disparities, and Bayesian data analysis.