Peter Lenk

(734) 936-2619

Economics, Finance and Business, Social Science
Bayesian Methods, Computing, Data Mining, Machine Learning, Mathematical and Statistical Modeling, Statistics

Peter Lenk

Professor Emeritus

Technology and Operations, Ross School of Business

Professor of Technology and Operations, Stephen M Ross School of Business

Prof. Lenk develops Bayesian models that disaggregate data to address individuals.  He also studies Bayesian nonparametric methods and currently consider shape constraints.  Prof. Lenk teaches and uses data mining methods such as recursive partition and neural networks.