Machine Learning Forecasts of Risk to Inform Sentencing Decisions

Research Article| April 01 2015 Machine Learning Forecasts of Risk to Inform Sentencing Decisions Richard Berk, Richard Berk Professor, Departments of Criminology & Statistics, University of Pennsylvania Search for other works by this author on: This Site PubMed Google Scholar Jordan Hyatt Jordan Hyatt Assistant Professor, Department of Criminology and Justice Studies, Drexel University Search for other works by this author on: This Site PubMed Google Scholar Federal Sentencing Reporter (2015) 27 (4): 222–228. https://doi.org/10.1525/fsr.2015.27.4.222 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Richard Berk, Jordan Hyatt; Machine Learning Forecasts of Risk to Inform Sentencing Decisions. Federal Sentencing Reporter 1 April 2015; 27 (4): 222–228. doi: https://doi.org/10.1525/fsr.2015.27.4.222 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentFederal Sentencing Reporter Search This content is only available via PDF.