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Bayesian Networks Probabilisti - (Statistics in Practice) 2nd Edition (Hardcover)

Bayesian Networks Probabilisti - (Statistics in Practice) 2nd Edition (Hardcover) - 1 of 1
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About this item

Highlights

  • Bayesian Networks "This book should have a place on the bookshelf of every forensic scientist who cares about the science of evidence interpretation.
  • About the Author: FRANCO TARONI, University of Lausanne, Switzerland ALEX BIEDERMANN, University of Lausanne, Switzerland SILVIA BOZZA, University Ca' Foscari of Venice, Italy PAOLO GARBOLINO, University IUAV of Venice, Italy COLIN AITKEN, University ofEdinburgh, UK
  • 480 Pages
  • Mathematics, Probability & Statistics
  • Series Name: Statistics in Practice

Description



Book Synopsis



Bayesian Networks

"This book should have a place on the bookshelf of every forensic scientist who cares about the science of evidence interpretation."
Dr. Ian Evett, Principal Forensic Services Ltd, London, UK

Bayesian Networks
for Probabilistic Inference and Decision Analysis in Forensic Science

Second Edition

Continuing developments in science and technology mean that the amounts of information forensic scientists are able to provide for criminal investigations is ever increasing. The commensurate increase in complexity creates diffculties for scientists and lawyers with regard to evaluation and interpretation, notably with respect to issues of inference and decision. Probability theory, implemented through graphical methods, and specifically Bayesian networks, provides powerful methods to deal with this complexity. Extensions of these methods to elements of decision theory provide further support and assistance to the judicial system.

Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science provides a unique and comprehensive introduction to the use of Bayesian decision networks for the evaluation and interpretation of scientific findings in forensic science, and for the support of decision-makers in their scientific and legal tasks.

  • Includes self-contained introductions to probability and decision theory.
  • Develops the characteristics of Bayesian networks, object-oriented Bayesian networks and their extension to decision models.
  • Features implementation of the methodology with reference to commercial and academically available software.
  • Presents standard networks and their extensions that can be easily implemented and that can assist in the reader's own analysis of real cases.
  • Provides a technique for structuring problems and organizing data based on methods and principles of scientific reasoning.
  • Contains a method for the construction of coherent and defensible arguments for the analysis and evaluation of scientific findings and for decisions based on them.
  • Is written in a lucid style, suitable for forensic scientists and lawyers with minimal mathematical background.
  • Includes a foreword by Ian Evett.

The clear and accessible style of this second edition makes this book ideal for all forensic scientists, applied statisticians and graduate students wishing to evaluate forensic findings from the perspective of probability and decision analysis. It will also appeal to lawyers and other scientists and professionals interested in the evaluation and interpretation of forensic findings, including decision making based on scientific information.



From the Back Cover



"This book should have a place on the bookshelf of every forensic scientist who cares about the science of evidence interpretation."
Dr. Ian Evett, Principal Forensic Services Ltd, London, UK

Bayesian Networks
for Probabilistic Inference and Decision Analysis in Forensic Science

Second Edition

Continuing developments in science and technology mean that the amounts of information forensic scientists are able to provide for criminal investigations is ever increasing. The commensurate increase in complexity creates diffculties for scientists and lawyers with regard to evaluation and interpretation, notably with respect to issues of inference and decision. Probability theory, implemented through graphical methods, and specifically Bayesian networks, provides powerful methods to deal with this complexity. Extensions of these methods to elements of decision theory provide further support and assistance to the judicial system.

Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science provides a unique and comprehensive introduction to the use of Bayesian decision networks for the evaluation and interpretation of scientific findings in forensic science, and for the support of decision-makers in their scientific and legal tasks.

  • Includes self-contained introductions to probability and decision theory.
  • Develops the characteristics of Bayesian networks, object-oriented Bayesian networks and their extension to decision models.
  • Features implementation of the methodology with reference to commercial and academically available software.
  • Presents standard networks and their extensions that can be easily implemented and that can assist in the reader's own analysis of real cases.
  • Provides a technique for structuring problems and organizing data based on methods and principles of scientific reasoning.
  • Contains a method for the construction of coherent and defensible arguments for the analysis and evaluation of scientific findings and for decisions based on them.
  • Is written in a lucid style, suitable for forensic scientists and lawyers with minimal mathematical background.
  • Includes a foreword by Ian Evett.

The clear and accessible style of this second edition makes this book ideal for all forensic scientists, applied statisticians and graduate students wishing to evaluate forensic findings from the perspective of probability and decision analysis. It will also appeal to lawyers and other scientists and professionals interested in the evaluation and interpretation of forensic findings, including decision making based on scientific information.



Review Quotes




"The clear and accessible style of this second edition makes this book ideal for all forensic scientists, applied statisticians and graduate students wishing to evaluate forensic findings from the perspective of probability and decision analysis. It will also appeal to lawyers and other scientists and professionals interested in the evaluation and interpretation of forensic findings, including decision making based on scientific information." (Zentralblatt MATH, 1 October 2014)




About the Author



FRANCO TARONI, University of Lausanne, Switzerland

ALEX BIEDERMANN, University of Lausanne, Switzerland

SILVIA BOZZA, University Ca' Foscari of Venice, Italy

PAOLO GARBOLINO, University IUAV of Venice, Italy

COLIN AITKEN, University ofEdinburgh, UK

Dimensions (Overall): 9.6 Inches (H) x 6.8 Inches (W) x 1.1 Inches (D)
Weight: 1.9 Pounds
Suggested Age: 22 Years and Up
Series Title: Statistics in Practice
Sub-Genre: Probability & Statistics
Genre: Mathematics
Number of Pages: 480
Publisher: Wiley
Theme: Bayesian Analysis
Format: Hardcover
Author: Franco Taroni & Alex Biedermann & Silvia Bozza & Paolo Garbolino & Colin Aitken
Language: English
Street Date: September 22, 2014
TCIN: 1002478233
UPC: 9780470979730
Item Number (DPCI): 247-48-5384
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 1.1 inches length x 6.8 inches width x 9.6 inches height
Estimated ship weight: 1.9 pounds
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