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 »