Nonparametric Deconvolution Models

In this talk, Dr. Allison J.B. Chaney will describe nonparametric deconvolution models (NDMs), a family of Bayesian nonparametric models for collections of data in which each observation is the average over the features from heterogeneous particles. For example, these types of data are found in elections, where we observe precinct-level vote tallies (observations) of individual... Read more »

Virtual GillingsX

GillingsX 2020: Breaking Down Barriers GillingsX is an annual event hosted by the Student Global Health Committee where Gillings students make 10-minute TEDx-style presentations to highlight inspiring projects, findings, and... Read more »

Crisis Standards of Care During COVID-19

Brought to you by the American Public Health Association and the National Academy of Medicine, this webinar series is exploring the state of the science surrounding the current outbreak of... Read more »