Peter Lenk

Peter Lenk is a prominent academic in the field of Operations Management Science and Marketing, currently serving as a Professor Emeritus at the University of Michigan's Stephen M. Ross School of Business. He has been a faculty member since July 1989, contributing significantly to the fields of marketing, finance, and information science through his research and teaching.

Educational Background

• PhD in Statistics: University of Michigan, 1984
• MA in Statistics: University of Michigan, 1981
• MA in Mathematics: Indiana University, 1979
• BA in Mathematics: Indiana University, 1977

Research Focus

Lenk specializes in Bayesian inferential and forecasting models, which he has applied across various domains including marketing and finance. His work includes contributions to nonparametric Bayesian models, which allow for more flexible modeling by relaxing traditional assumptions about functional forms and distributions.12

Teaching and Methods

In addition to his research, Lenk teaches data mining methods, including techniques like recursive partitioning and neural networks. His expertise in these areas reflects a commitment to integrating advanced statistical methods into practical applications within business contexts.2

Overall, Peter Lenk's work has had a lasting impact on operations management and marketing, positioning him as a key figure in the academic community at the University of Michigan.