Berk, Richard

Redefine statistical significance

Benjamin, D. J., Berger, J. O., Johannesson, M., Nosek, B. A., Wagenmakers, E.-J., Berk, R., Bollen, K. A., Brembs, B., Brown, L., Camerer, C., et al. (2017) · Nature Human Behaviour

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 2,772

An Introduction to Sample Selection Bias in Sociological Data

Berk, R. A. (1983) · American Sociological Review

Survey Sampling and Estimation TechniquesSurvey Methodology and Nonresponse

Cited by 1,213

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

Berk, R., Heidari, H., Jabbari, S., Kearns, M., & Roth, A. (2021) · Sociological Methods & Research

Ethics and Social Impacts of AICriminal Justice and Corrections Analysis

Cited by 988

Overdispersion and Poisson Regression

Berk, R., & MacDonald, J. M. (2008) · Journal of Quantitative Criminology

Statistical Methods and Bayesian InferenceStatistical Distribution Estimation and Applications

Cited by 299

Artificial Intelligence, Predictive Policing, and Risk Assessment for Law Enforcement

Berk, R. A. (2021) · Annual Review of Criminology

Ethics and Social Impacts of AIArtificial Intelligence in Law

Cited by 213

A Convex Framework for Fair Regression

Berk, R., Heidari, H., Jabbari, S., Joseph, M., Kearns, M., Morgenstern, J., Neel, S., & Roth, A. (2017) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 198

Forecasting Murder Within a Population of Probationers and Parolees: A High Stakes Application of Statistical Learning

Berk, R., Sherman, L., Barnes, G., Kurtz, E., & Ahlman, L. (2009) · Journal of the Royal Statistical Society Series A: Statistics in Society

Criminal Justice and Corrections AnalysisPsychopathy, Forensic Psychiatry, Sexual Offending

Cited by 178

An impact assessment of machine learning risk forecasts on parole board decisions and recidivism

Berk, R. (2017) · Journal of Experimental Criminology

Criminal Justice and Corrections AnalysisEthics and Social Impacts of AI

Cited by 169

Policing the homeless: An evaluation of efforts to reduce homeless‐related crime

Berk, R., & MacDonald, J. (2010) · Criminology & Public Policy

Crime Patterns and InterventionsPolicing Practices and Perceptions

Cited by 93

Accuracy and Fairness for Juvenile Justice Risk Assessments

Berk, R. (2019) · Journal of Empirical Legal Studies

Ethics and Social Impacts of AIArtificial Intelligence in Law

Cited by 50

Developing a Practical Forecasting Screener for Domestic Violence Incidents

Berk, R. A., He, Y., & Sorenson, S. B. (2005) · Evaluation Review

Intimate Partner and Family ViolenceCrime Patterns and Interventions

Cited by 43

Covariance Adjustments for the Analysis of Randomized Field Experiments

Berk, R., Pitkin, E., Brown, L., Buja, A., George, E., & Zhao, L. (2013) · Evaluation Review

Advanced Causal Inference TechniquesEvaluation and Performance Assessment

Cited by 42

The Role of Race in Forecasts of Violent Crime

Berk, R. (2009) · Race and Social Problems

Criminal Justice and Corrections AnalysisEthics and Social Impacts of AI

Cited by 41

Measuring consensus about scientific research norms.

Berk, R. A., Korenman, S. G., & Wenger, N. S. (2000) · Science and Engineering Ethics

Academic integrity and plagiarismEthics in Business and Education

Cited by 13

Algorithmic Forecasting of Extreme Heat Waves

Berk, R. A., Braverman, A., & Kuchibhotla, A. K. (2024) · arXiv

Climate variability and modelsMeteorological Phenomena and Simulations

Cited by 0

Forecasting Extreme Temperatures in Siberia Using Supervised Learning and Conformal Prediction Regions

Berk, R. A., & Braverman, A. (2025) · arXiv

Climate variability and modelsMeteorological Phenomena and Simulations

Cited by 0

Forecasting Extreme High Summer Temperatures in Paris and Cairo Using Gradient Boosting and Conformal Prediction Regions

Berk, R. A. (2025) · arXiv

Forecasting Techniques and ApplicationsClimate variability and models

Cited by 0