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plenk@umich.edu

(734) 936-2619

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

Peter Lenk

Professor

Technology and Operations, 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.