Presentation by Peter J. Lenk
Stephen M. Ross School of Business, University of Michigan

Peter Lenk studies Bayesian inferential and forecasting models. He has applied these models to marketing, finance, and information science. In addition, he has contributed to nonparametric Bayesian models. This class of models relaxes some of the assumptions, such as pre-specified functional forms or distributions, of standard models.