001431557 000__ 04400cam\a2200517\i\4500
001431557 001__ 1431557
001431557 003__ OCoLC
001431557 005__ 20230308003242.0
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001431557 008__ 221031s2022\\\\sz\a\\\\ob\\\\001\0\eng\d
001431557 020__ $$a9783031098390$$q(electronic bk.)
001431557 020__ $$a3031098390$$q(electronic bk.)
001431557 020__ $$z9783031098383
001431557 0247_ $$a10.1007/978-3-031-09839-0$$2doi
001431557 035__ $$aSP(OCoLC)1349339889
001431557 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCF$$dOCLCQ
001431557 049__ $$aISEA
001431557 050_4 $$aQA279.5
001431557 08204 $$a519.5/42$$223/eng/20221031
001431557 1001_ $$aBozza, Silvia,$$eauthor.
001431557 24510 $$aBayes factors for forensic decision analyses with R /$$cSilvia Bozza, Franco Taroni, Alex Biedermann.
001431557 264_1 $$aCham, Switzerland :$$bSpringer,$$c2022.
001431557 300__ $$a1 online resource (xii, 187 pages) :$$billustrations (some color).
001431557 336__ $$atext$$btxt$$2rdacontent
001431557 337__ $$acomputer$$bc$$2rdamedia
001431557 338__ $$aonline resource$$bcr$$2rdacarrier
001431557 4901_ $$aSpringer Texts in Statistics,$$x2197-4136
001431557 504__ $$aIncludes bibliographical references and index.
001431557 5050_ $$aChapter 1: Introduction to the Bayes factor and decision analysis -- Chapter 2: Bayes factor for model choice -- Chapter 3: Bayes factor for evaluative purposes -- Chapter 4: Bayes factor for investigative purposes.
001431557 5060_ $$aOpen access.$$5GW5XE
001431557 520__ $$aBayes Factors for Forensic Decision Analyses with R provides a self-contained introduction to computational Bayesian statistics using R. With its primary focus on Bayes factors supported by data sets, this book features an operational perspective, practical relevance, and applicability -- keeping theoretical and philosophical justifications limited. It offers a balanced approach to three naturally interrelated topics: Probabilistic Inference - Relies on the core concept of Bayesian inferential statistics, to help practicing forensic scientists in the logical and balanced evaluation of the weight of evidence. Decision Making - Features how Bayes factors are interpreted in practical applications to help address questions of decision analysis involving the use of forensic science in the law. Operational Relevance - Combines inference and decision, backed up with practical examples and complete sample code in R, including sensitivity analyses and discussion on how to interpret results in context. Over the past decades, probabilistic methods have established a firm position as a reference approach for the management of uncertainty in virtually all areas of science, including forensic science, with Bayes' theorem providing the fundamental logical tenet for assessing how new information -- scientific evidence -- ought to be weighed. Central to this approach is the Bayes factor, which clarifies the evidential meaning of new information, by providing a measure of the change in the odds in favor of a proposition of interest, when going from the prior to the posterior distribution. Bayes factors should guide the scientist's thinking about the value of scientific evidence and form the basis of logical and balanced reporting practices, thus representing essential foundations for rational decision making under uncertainty. This book would be relevant to students, practitioners, and applied statisticians interested in inference and decision analyses in the critical field of forensic science. It could be used to support practical courses on Bayesian statistics and decision theory at both undergraduate and graduate levels, and will be of equal interest to forensic scientists and practitioners of Bayesian statistics for driving their evaluations and the use of R for their purposes. This book is Open Access.
001431557 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 31, 2022).
001431557 650_0 $$aBayesian statistical decision theory$$xData processing.
001431557 650_0 $$aForensic sciences$$xStatistical methods$$xData processing.
001431557 650_0 $$aR (Computer program language)
001431557 655_0 $$aElectronic books.
001431557 7001_ $$aTaroni, Franco,$$eauthor.
001431557 7001_ $$aBiedermann, Alex,$$eauthor.
001431557 830_0 $$aSpringer texts in statistics,$$x2197-4136
001431557 852__ $$bebk
001431557 85640 $$3Springer Nature$$uhttps://link.springer.com/10.1007/978-3-031-09839-0$$zOnline Access$$91397441.2
001431557 909CO $$ooai:library.usi.edu:1431557$$pGLOBAL_SET
001431557 980__ $$aBIB
001431557 980__ $$aEBOOK
001431557 982__ $$aEbook
001431557 983__ $$aOnline
001431557 994__ $$a92$$bISE