Professor Gilbride’s research focuses on the application of Bayesian statistical methods to investigate marketing problems, particularly in the areas of consumer choice, modeling heterogeneity, and managerial decision models. In recent papers, he developed a method for combining observed market share and survey based preference data, marketing dynamics, and has developed methods for modeling variable selection and non-compensatory consumer decision processes. His research has appeared in the top journals in Marketing.