Machine Learning Risk Assessments in Criminal Justice Settings

Authors: Berk, Richard

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  • Discussions of neural networks, with extensions into deep learning, and of the tradeoffs between transparency, accuracy, and fairness
  • Throughout, difficult issues are clearly explained, supported by many references
  • Real-world examples that measure forecasting accuracy
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eBook 91,62 €
price for Spain (gross)
  • ISBN 978-3-030-02272-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 114,39 €
price for Spain (gross)
  • ISBN 978-3-030-02271-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This book puts in one place and in accessible form Richard Berk’s most recent work on forecasts of re-offending by individuals already in criminal justice custody. Using machine learning statistical procedures trained on very large datasets, an explicit introduction of the relative costs of forecasting errors as the forecasts are constructed, and an emphasis on maximizing forecasting accuracy, the author shows how his decades of research on the topic improves forecasts of risk.

 Criminal justice risk forecasts anticipate the future behavior of specified individuals, rather than “predictive policing” for locations in time and space, which is a very different enterprise that uses different data different data analysis tools.

 The audience for this book includes graduate students and researchers in the social sciences, and data analysts in criminal justice agencies. Formal mathematics is used only as necessary or in concert with more intuitive explanations.

About the authors

Richard Berk is a Professor in the Department of Statistics and Department of Criminology at the University of Pennsylvania. He was previously a Distinguished Professor Statistics at UCLA. He has published 14 books and over 150 papers and book chapters on a wide range applied statistical issues, including many criminal justice applications.

Table of contents (9 chapters)

  • Getting Started

    Berk, Richard

    Pages 1-13

    Preview Buy Chapter 30,19 €
  • Some Important Background Material

    Berk, Richard

    Pages 15-40

    Preview Buy Chapter 30,19 €
  • A Conceptual Introduction to Classification and Forecasting

    Berk, Richard

    Pages 41-56

    Preview Buy Chapter 30,19 €
  • A More Formal Treatment of Classification and Forecasting

    Berk, Richard

    Pages 57-73

    Preview Buy Chapter 30,19 €
  • Tree-Based Forecasting Methods

    Berk, Richard

    Pages 75-114

    Preview Buy Chapter 30,19 €

Buy this book

eBook 91,62 €
price for Spain (gross)
  • ISBN 978-3-030-02272-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 114,39 €
price for Spain (gross)
  • ISBN 978-3-030-02271-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Machine Learning Risk Assessments in Criminal Justice Settings
Authors
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-02272-3
DOI
10.1007/978-3-030-02272-3
Hardcover ISBN
978-3-030-02271-6
Edition Number
1
Number of Pages
IX, 178
Number of Illustrations
5 b/w illustrations, 27 illustrations in colour
Topics