Richard Berk
Richard Berk is an emeritus professor in the Department of Criminology and in the Department of Statistics at the University of Pennsylvania. He is an elected fellow of the American Association for the Advancement of Science, the American Statistical Association, and the Academy of Experimental Criminology, and has served on the National Research Council’s Committee on Applied and Theoretical Statistics of the National Research Council and on the Social Science Research Council’s Board of Directors. Professor Berk is also an emeritus distinguished professor of statistics at UCLA, and has been a visiting faculty member in statistics at the Los Alamos National laboratory. He has been awarded the Paul F. Lazarsfeld Award by the Methodology Section of the American Sociological Association. He works on various topics in applied statistics including causal inference, machine learning, and post-model-selection inference. Among his criminology applications are inmate classification and placement systems, law enforcement strategies for reducing domestic violence, detecting violations of environmental regulations, and using machine learning forecasting criminal behavior of individuals on parole or probation. Professor Berk is the author of over 150 peer reviewed publications including 15 books. His most recent book in statistics is Statistical Learning from a Regression Perspective (Third edition, Springer, 2020).
Supervisors: Peter H. Rossi
Address: Home page: https://crim.sas.upenn.edu/people/richard-berk
Supervisors: Peter H. Rossi
Address: Home page: https://crim.sas.upenn.edu/people/richard-berk
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