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D-Index & Metrics

Social Sciences and Humanities

D-Index
67
Citations
23948
World Ranking
888
National Ranking
422

Research.com Recognitions

  • 2001 - Fellow of the American Statistical Association (ASA)
  • 1989 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Richard A. Berk is affiliated with the University of Pennsylvania in the United States. Their research spans across multiple fields, primarily focusing on Computer Science and Mathematics. Within these broader disciplines, their work concentrates on several subfields including Statistics and Probability, Artificial Intelligence, Safety Research, Sociology and Political Science, and Applied Mathematics.

The scientist's research topics include:

  • Advanced Statistical Methods and Models
  • Ethics and Social Impacts of AI
  • Statistical Methods and Inference
  • Statistical Methods and Bayesian Inference
  • Crime Patterns and Interventions
  • Neural Networks and Applications
  • Machine Learning and Data Classification

Richard A. Berk has published notably in venues such as:

  • arXiv (Cornell University)
  • Journal of the Royal Statistical Society Series B (Statistical Methodology)
  • Observational Studies
  • Annual Review of Criminology
  • PLoS ONE

Some of their recent papers include:

  • "Artificial Intelligence, Predictive Policing, and Risk Assessment for Law Enforcement" (2020, Annual Review of Criminology)
  • "Discrimination of SARS-CoV-2 infected patient samples by detection dogs: A proof of concept study" (2021, PLoS ONE)
  • "The Endemic Amid the Pandemic: Seeking Help for Violence Against Women in the Initial Phases of COVID-19" (2021, Journal of Interpersonal Violence)
  • "Semi-Supervised Linear Regression" (2021, Journal of the American Statistical Association)
  • "Machine Learning Algorithms in Suicide Prevention" (2020, The Journal of Clinical Psychiatry)

They have also contributed to the academic literature as an author of books, including a publication through Springer International Publishing: Statistical Learning from a Regression Perspective (2020).

Richard A. Berk has frequently collaborated with other researchers. Their most common coauthors are:

  • Arun Kumar Kuchibhotla
  • Andreas Buja
  • Linda Zhao
  • Eric Tchetgen Tchetgen
  • Cynthia M. Otto

Recognition of their work includes distinctions such as:

  • Fellow of the American Statistical Association (ASA), awarded in 2001
  • Fellow of the American Association for the Advancement of Science (AAAS), awarded in 1989

Best Publications

  • Redefine statistical significance

    Daniel J. Benjamin;James O. Berger;Magnus Johannesson;Magnus Johannesson;Brian A. Nosek;Brian A. Nosek

  • The specific deterrent effects of arrest for domestic assault.

    Lawrence W. Sherman;Richard A. Berk

  • An introduction to sample selection bias in sociological data.

    Richard A. Berk

  • Fairness in Criminal Justice Risk Assessments: The State of the Art

    Richard Berk;Hoda Heidari;Shahin Jabbari;Michael Kearns

  • Applied Time Series Analysis for the Social Sciences

    Unknown

  • Regression Analysis: A Constructive Critique

    Richard A. Berk

  • Valid post-selection inference

    Richard A Berk;Lawrence D Brown;Andreas Buja;Kai Zhang

  • Statistical Learning from a Regression Perspective

    Richard A. Berk

  • Thinking about program evaluation

    Richard A. Berk;Peter Henry Rossi

  • The Deterrent Effect of Arrest in Incidents of Domestic Violence: A Bayesian Analysis of Four Field Experiments

    Richard A. Berk;Alec Campbell;Ruth Klap;Bruce Western

  • Overdispersion and Poisson Regression

    Richard Berk;John M. MacDonald

  • Weighting Regressions by Propensity Scores

    David A. Freedman;Richard A. Berk

  • Does arrest really deter wife battery? An effort to replicate the findings of the Minneapolis Spouse Abuse Experiment.

    Richard A. Berk;Phyllis J. Newton

  • What a Difference a Day Makes: An Empirical Study of the Impact of Shelters for Battered Women

    Richard A. Berk;Phyllis J. Newton;Sarah Fenstermaker Berk

  • News media coverage and the epidemiology of homicide.

    Susan B. Sorenson;J. G. Manz;Richard A. Berk

  • Forecasting murder within a population of probationers and parolees: a high stakes application of statistical learning

    Richard Berk;Lawrence Sherman;Geoffrey Barnes;Ellen Kurtz

  • Crime and Poverty - Some Experimental-Evidence from Ex-Offenders

    Richard A. Berk;Kenneth J. Lenihan;Peter H. Rossi

  • A Convex Framework for Fair Regression

    Richard Berk;Hoda Heidari;Shahin Jabbari;Matthew Joseph

  • Money, work, and crime : experimental evidence

    Peter Henry Rossi;Richard A. Berk;Kenneth J. Lenihan

  • Public perceptions of global warming

    Richard A. Berk;Daniel Schulman

  • Statistical Inference for Apparent Populations

    Richard A. Berk;Bruce Western;Robert E. Weiss

Frequent Co-Authors

Lawrence D. Brown
Lawrence D. Brown Cornell University
Peter H. Rossi
Peter H. Rossi University of Massachusetts Amherst
Susan B. Sorenson
Susan B. Sorenson University of Pennsylvania
Lawrence W. Sherman
Lawrence W. Sherman University of Cambridge
Bruce Western
Bruce Western Columbia University
Michael Ghil
Michael Ghil École Normale Supérieure
David Cesarini
David Cesarini New York University
Thomas D. Cook
Thomas D. Cook University of Wisconsin–Madison
Robert J. DeRubeis
Robert J. DeRubeis University of Pennsylvania
Brian A. Nosek
Brian A. Nosek Center for Open Science

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