{"product_id":"bayesian-networks-probabilisti-hardcover-1","title":"Bayesian Networks Probabilisti - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eFranco Taroni\u003c\/b\u003e (Author), \u003cb\u003eAlex Biedermann\u003c\/b\u003e (Author), \u003cb\u003eSilvia Bozza\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cb\u003eBayesian Networks \u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003cb\u003e\"This book should have a place on the bookshelf of every forensic scientist who cares about the science of evidence interpretation.\"\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eDr. Ian Evett, Principal Forensic Services Ltd, London, UK\u003c\/i\u003e \u003c\/p\u003e\u003cp\u003eBayesian Networks\u003cbr\u003efor Probabilistic Inference and Decision Analysis in Forensic Science \u003c\/p\u003e\u003cp\u003eSecond Edition \u003c\/p\u003e\u003cp\u003eContinuing 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. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eBayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science\u003c\/i\u003e 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. \u003c\/p\u003e\u003cul\u003e\u003cb\u003e\u003cli\u003eIncludes self-contained introductions to probability and decision theory.\u003c\/li\u003e \u003cli\u003eDevelops the characteristics of Bayesian networks, object-oriented Bayesian networks and their extension to decision models.\u003c\/li\u003e \u003cli\u003eFeatures implementation of the methodology with reference to commercial and academically available software.\u003c\/li\u003e \u003cli\u003ePresents standard networks and their extensions that can be easily implemented and that can assist in the reader's own analysis of real cases.\u003c\/li\u003e \u003cli\u003eProvides a technique for structuring problems and organizing data based on methods and principles of scientific reasoning.\u003c\/li\u003e \u003cli\u003eContains a method for the construction of coherent and defensible arguments for the analysis and evaluation of scientific findings and for decisions based on them.\u003c\/li\u003e \u003cli\u003eIs written in a lucid style, suitable for forensic scientists and lawyers with minimal mathematical background.\u003c\/li\u003e \u003cli\u003eIncludes a foreword by Ian Evett.\u003c\/li\u003e\u003c\/b\u003e\u003c\/ul\u003e \u003cp\u003eThe 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.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\"This book should have a place on the bookshelf of every forensic scientist who cares about the science of evidence interpretation.\"\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eDr. Ian Evett, Principal Forensic Services Ltd, London, UK\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eBayesian Networks\u003cbr\u003efor Probabilistic Inference and Decision Analysis in Forensic Science \u003c\/p\u003e\u003cp\u003eSecond Edition \u003c\/p\u003e\u003cp\u003eContinuing 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. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eBayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science\u003c\/i\u003e 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. \u003c\/p\u003e\u003cul\u003e\u003cb\u003e\u003cli\u003eIncludes self-contained introductions to probability and decision theory.\u003c\/li\u003e \u003cli\u003eDevelops the characteristics of Bayesian networks, object-oriented Bayesian networks and their extension to decision models.\u003c\/li\u003e \u003cli\u003eFeatures implementation of the methodology with reference to commercial and academically available software.\u003c\/li\u003e \u003cli\u003ePresents standard networks and their extensions that can be easily implemented and that can assist in the reader's own analysis of real cases.\u003c\/li\u003e \u003cli\u003eProvides a technique for structuring problems and organizing data based on methods and principles of scientific reasoning.\u003c\/li\u003e \u003cli\u003eContains a method for the construction of coherent and defensible arguments for the analysis and evaluation of scientific findings and for decisions based on them.\u003c\/li\u003e \u003cli\u003eIs written in a lucid style, suitable for forensic scientists and lawyers with minimal mathematical background.\u003c\/li\u003e \u003cli\u003eIncludes a foreword by Ian Evett.\u003c\/li\u003e\u003c\/b\u003e\u003c\/ul\u003e \u003cp\u003eThe 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.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eFRANCO TARONI, \u003ci\u003eUniversity of Lausanne, Switzerland \u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eALEX BIEDERMANN, \u003ci\u003eUniversity of Lausanne, Switzerland \u003c\/i\u003e \u003c\/p\u003e\u003cp\u003eSILVIA BOZZA, \u003ci\u003eUniversity Ca' Foscari of Venice, Italy \u003c\/i\u003e \u003c\/p\u003e\u003cp\u003ePAOLO GARBOLINO, \u003ci\u003eUniversity IUAV of Venice, Italy \u003c\/i\u003e \u003c\/p\u003e\u003cp\u003eCOLIN AITKEN, \u003ci\u003eUniversity ofEdinburgh, UK \u003c\/i\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 480\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.1 x 9.6 x 6.8 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 22, 2014\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47331476766969,"sku":"9780470979730","price":164.09,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/FS31GV3WPI9780470979730_4369652a-8048-4606-a7b4-0346654b4775.webp?v=1769615046","url":"https:\/\/bookscloud.io\/products\/bayesian-networks-probabilisti-hardcover-1","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}