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
Bayesian methods and data mining
COntact
WebsiteLocation
Ann Arbor
Methodologies
Bayesian Methods / Computing / Data Mining / Machine Learning / Mathematical and Statistical Modeling / Statistics
Applications