2 papers
stat.ML2013
Learning Densities Conditional on Many Interacting Features
David C. Kessler, Jack Taylor, David B. Dunson
Learning a distribution conditional on a set of discrete-valued features is a commonly encountered task. This becomes more challenging with a high-dimensional feature set when ther…
stat.ME2012
Marginally Specified Priors for Nonparametric Bayesian Estimation
David C. Kessler, Peter D. Hoff, David B. Dunson
Prior specification for nonparametric Bayesian inference involves the difficult task of quantifying prior knowledge about a parameter of high, often infinite, dimension. Realistica…