The Resource Bayesian networks for probabilistic inference and decision analysis in forensic science, Franco Taroni, Alex Biedermann, Silvia Bozza, Paolo Garbolino, Colin Aitken

Bayesian networks for probabilistic inference and decision analysis in forensic science, Franco Taroni, Alex Biedermann, Silvia Bozza, Paolo Garbolino, Colin Aitken

Label
Bayesian networks for probabilistic inference and decision analysis in forensic science
Title
Bayesian networks for probabilistic inference and decision analysis in forensic science
Statement of responsibility
Franco Taroni, Alex Biedermann, Silvia Bozza, Paolo Garbolino, Colin Aitken
Creator
Contributor
Author
Subject
Language
eng
Summary
"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, UKContinuing 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 difficulties 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
Member of
Cataloging source
N$T
Dewey number
363.2501/519542
Index
index present
LC call number
QA279.5
LC item number
.B39 2014eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Statistics in practice
Label
Bayesian networks for probabilistic inference and decision analysis in forensic science, Franco Taroni, Alex Biedermann, Silvia Bozza, Paolo Garbolino, Colin Aitken
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
http://library.link/vocab/branchCode
  • net
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Foreword -- Preface to the second edition -- Preface to the first edition --1 The logic of decision -- 2 The logic of Bayesian networks and influence diagrams -- 3 Evaluation of scientific findings in forensic science -- 4 Evaluation given source level propositions -- 5 Evaluation given activity level propositions -- 6 Evaluation given crime level propositions -- 7 Evaluation of DNA profiling results -- 8 Aspects of combining evidence -- 9 Networks for continuous models -- 10 Pre-assessment -- 11 Bayesian decision networks -- 12 Object-oriented networks -- 13 Qualitative, sensitivity and conflict analyses
Control code
ocn883246797
Dimensions
unknown
Edition
Second edition
Extent
1 online resource (xxiv, 443 pages)
File format
unknown
Form of item
online
Isbn
9781118914755
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1002/9781118914762
http://library.link/vocab/ext/overdrive/overdriveId
  • 9d71bc1d-d36e-4121-9e26-3aa77b282161
  • cl0500000490
Quality assurance targets
not applicable
http://library.link/vocab/recordID
.b30579168
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)883246797
  • pebcs1118914740

Library Locations

    • Deakin University Library - Geelong Waurn Ponds CampusBorrow it
      75 Pigdons Road, Waurn Ponds, Victoria, 3216, AU
      -38.195656 144.304955
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