Peter Lenk

Peter Lenk studies Bayesian inferential and forecasting models. He has applied these models to marketing, finance, and information science. In particular, Peter has great familiarity with statistical analysis applied to consumer purchase data. In addition, he has contributed advances to nonparametric Bayesian statistical models, which relax some of the assumptions of standard models. Peter earned his Ph.D. from the University of Michigan.