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.
Peter Lenk
Professor Emeritus of Technology and Operations, Stephen M Ross School of Business
COntact
Methodologies
Computing / Data Mining / Machine Learning / Mathematical and Statistical Modeling / Statistics
Applications
Economics, Finance and Business /
Community Affiliation