SpringerBriefs in Computer Science

Criminal Justice Forecasts of Risk

A Machine Learning Approach

Authors: Berk, Richard

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  • ISBN 978-1-4614-3085-8
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Softcover $39.95
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  • ISBN 978-1-4614-3084-1
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About this book

Machine learning and nonparametric function estimation procedures can be effectively used in forecasting. One important and current application is used to make forecasts of “future dangerousness" to inform criminal justice decision. Examples include the decision to release an individual on parole, determination of the parole conditions, bail recommendations, and sentencing. Since the 1920s, "risk assessments" of various kinds have been used in parole hearings, but the current availability of large administrative data bases, inexpensive computing power, and developments in statistics and computer science have increased their accuracy and applicability. In this book, these developments are considered with particular emphasis on the statistical and computer science tools, under the rubric of supervised learning, that can dramatically improve these kinds of forecasts in criminal justice settings. The intended audience is researchers in the social sciences and data analysts in criminal justice agencies.

Reviews

From the reviews:

“Predicting ‘future dangerousness’ has been a hot topic in psychology, sociology, and criminal justice for many years. … The current state of machine learning statistical procedures utilizing very large datasets is presented in a little over 100 interesting pages. The book is aimed at social science graduate students and researchers, and criminal justice data analysts. Anyone interested in the topic will find it a good read. … Clearly, the author is moving our knowledge of this important topic forward.” (Brad Reid, ACM Computing Reviews, October, 2012)


Table of contents (8 chapters)

  • Getting Started

    Berk, Richard

    Pages 1-6

  • Some Important Background Material

    Berk, Richard

    Pages 7-25

  • A Conceptual Introduction to Classification and Forecasting

    Berk, Richard

    Pages 27-41

  • A More Formal Treatment of Classification and Forecasting

    Berk, Richard

    Pages 43-57

  • Tree-Based Forecasting Methods

    Berk, Richard

    Pages 59-79

Buy this book

eBook $29.99
price for USA
  • ISBN 978-1-4614-3085-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $39.95
price for USA
  • ISBN 978-1-4614-3084-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Criminal Justice Forecasts of Risk
Book Subtitle
A Machine Learning Approach
Authors
Series Title
SpringerBriefs in Computer Science
Copyright
2012
Publisher
Springer-Verlag New York
Copyright Holder
The Author
eBook ISBN
978-1-4614-3085-8
DOI
10.1007/978-1-4614-3085-8
Softcover ISBN
978-1-4614-3084-1
Series ISSN
2191-5768
Edition Number
1
Number of Pages
IX, 115
Number of Illustrations and Tables
1 b/w illustrations, 21 illustrations in colour
Topics