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Richard A. Berk

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Professor of Criminology and Statistics



Research Publications Biography

Research Areas

Applied Statistics, statistical/machine learning, causal inference

Current Projects

Currently working on a wide variety of applications, including inmate classification and placement systems, climate dynamics, detecting violations of environmental regulations, and forecasting criminal behavior. Also working on problems with conventional model selection procedures and on extending machine/statistical learning to data with more than one response variable.