Statistics in the Law is primarily a user's manual or desk reference for the expert witness-lawyer team and, secondarily, a textbook or supplemental textbook for upper level undergraduate statistics students. It starts with two articles by masters of the trade, Paul Meier and Franklin Fisher. It then explains the distinction between the Frye and Daughbert standards for expert testimony, and how these standards play out in court. The bulk of the book addresses individual cases covering a wide variety of questions, including: ·Does electronic draw poker require skill to play? ·Did the New Jersey State Police disproportionately stop black motorists? ·Is a jury a representative cross section of the community? ·Were ballots tampered with in an election? The book concludes with Part 5, a review of English law, that includes a case in which a woman was accused of murdering her infant sons because both died of "cot death" or "sudden death syndrome," (she was convicted, but later exonerated), and an examination of how Bayesian analyses can (or more precisely), cannot be presented in UK courts. In each study, the statistical analysis is shaped to address the relevant legal questions, and draws on whatever methods in statistics might shed light on those questions.

Statistics in the Law: A Practitioner's Guide, Cases, and Materials

Kadane, Joseph B.

Legal Education

Oxford University Press

Principles of Uncertainty (Chapman & Hall/CRC Texts in Statistical Science)

Reference

Chapman and Hall/CRC

Pragmatics of Uncertainty (Chapman & Hall/CRC Texts in Statistical Science)

A fair question to ask of an advocate of subjective Bayesianism (which the author is) is "how would you model uncertainty?" In this book, the author writes about how he has done it using real problems from the past, and offers additional comments about the context in which he was working.

Science & Math

Mathematics

A Probabilistic Analysis of the Sacco and Vanzetti Evidence is aBayesian analysis of the trial and post-trial evidence in the Saccoand Vanzetti case, based on subjectively determined probabilitiesand assumed relationships among evidential events. It applies theideas of charting evidence and probabilistic assessment to thiscase, which is perhaps the ranking cause celebre in all of Americanlegal history. Modern computation methods applied to inferencenetworks are used to show how the inferential force of evidence ina complicated case can be graded. The authors employ probabilisticassessment to obtain opinions about how influential each group ofevidential items is in reaching a conclusion about the defendants'innocence or guilt. A Probabilistic Analysis of the Sacco and Vanzetti Evidence holdsparticular interest for statisticians and probabilists in academiaand legal consulting, as well as for the legal community,historians, and behavioral scientists. It combines structural andprobabilistic ideas in the analysis of masses of evidence fromevery recognized logical species of evidence. Twenty-eight chartsshow the chains of reasoning in defense of the relevance ofevidentiary matters and a listing of trial witnesses who providedthe evidence. References include nearly 300 items drawn from thefields of probability theory, history, law, artificialintelligence, psychology, literature, and other areas.

A Probabilistic Analysis of the Sacco and Vanzetti Evidence

Schum, David A.

wiley

Rethinking the Foundations of Statistics (Cambridge Studies in Probability, Induction and Decision Theory)

This important collection of essays is a synthesis of foundational studies in Bayesian decision theory and statistics. An overarching topic of the collection is understanding how the norms for Bayesian decision making should apply in settings with more than one rational decision maker and then tracing out some of the consequences of this turn for Bayesian statistics. The volume will be particularly valuable to philosophers concerned with decision theory, probability, and statistics, statisticians, mathematicians, and economists.

Politics & Social Sciences

Schervish, Mark J.

Seidenfeld, Teddy

Philosophy

Cambridge University Press

Product Description Praise for the first edition: Principles of Uncertainty is a profound and mesmerising book on the foundations and principles of subjectivist or behaviouristic Bayesian analysis. … the book is a pleasure to read. And highly recommended for teaching as it can be used at many different levels. … A must-read for sure!―Christian Robert, CHANCEIt's a lovely book, one that I hope will be widely adopted as a course textbook.―Michael Jordan, University of California, Berkeley, USALike the prize-winning first edition, Principles of Uncertainty, Second Edition is an accessible, comprehensive text on the theory of Bayesian Statistics written in an appealing, inviting style, and packed with interesting examples. It presents an introduction to the subjective Bayesian approach which has played a pivotal role in game theory, economics, and the recent boom in Markov Chain Monte Carlo methods. This new edition has been updated throughout and features new material on Nonparametric Bayesian Methods, the Dirichlet distribution, a simple proof of the central limit theorem, and new problems.Key Features: First edition won the 2011 DeGroot PrizeWell-written introduction to theory of Bayesian statisticsEach of the introductory chapters begins by introducing one new concept or assumptionUses "just-in-time mathematics"―the introduction to mathematical ideas just before they are applied Review 'my enthusiasm for the book, its original (and of course, subjective) defense of the Bayesian approach, and its highly enjoyable style, remains intact, especially when backed by the proof-in-the pudding 2017 Pragmatics of Uncertainty, which I reviewed in a 2019 issue of CHANCE (32(1)).'- Christian Robert (2021) Principles of Uncertainty (Second Edition), CHANCE, 34:1, 54-55, DOI: 10.1080/09332480.2021.1885939"...Overall, my enthusiasm for the book, its original (and of course subjective) defence of the Bayesian approach, and its highly enjoyable style, remains intact! Especially when backed by the proof-in-the pudidng 2017 Pragmatics of Uncertainty..."- Christian P. Robert, CHANCE 2020 About the Author Joseph B. Kadane (born January 10, 1941) is the Leonard J. Savage University Professor of Statistics, Emeritus in the Department of Statistics and Social and Decision Sciences at Carnegie Mellon University. He is one of the early proponents of Bayesian statistics, particularly the subjective Bayesian philosophy. Born in Washington, DC and raised in Freeport on Long Island, Kadane (known as Jay), prepared at Phillips Exeter Academy, earned an A.B. in mathematics from Harvard College and a Ph.D. in statistics from Stanford in 1966, under the supervision of Professor Herman Chernoff. While in graduate school, Jay worked for the Center for Naval Analyses (CNA). Upon finishing, he accepted a joint appointment at the Yale statistics department and the Cowles Foundation. In 1968 he left Yale and served as an analyst at CNA for three years. In 1971, Jay moved to Pittsburgh to join Morris H. DeGroot at Carnegie Mellon University. He became the second tenured professor in the Department of Statistics. Jay served as department head from 1972-1981 and steered the department to a balance between theoretical and applied work, advocating that statisticians should engage in joint research in substantive areas rather than acting as consultants.Jay’s contributions span a wide range of fields: econometrics, law, medicine, political science, sociology, computer science (see maximum subarray problem), archaeology, and environmental science, among others. Among many honors, Jay has been elected as a Fellow of the American Academy of Arts and Sciences, a fellow of the American Association for the Advancement of Science, a fellow of the American Statistical Association, and a fellow of the Institute of Mathematical Statistics. He has authored over 250 peer-reviewed publications and has served the statistical community in many capacities, includi

Routledge

This important collection of essays is a synthesis of foundational studies in Bayesian decision theory and statistics. An overarching topic of the collection is understanding how the norms for Bayesian decision making should apply in settings with more than one rational decision maker and then tracing out some of the consequences of this turn for Bayesian statistics. The volume will be particularly valuable to philosophers concerned with decision theory, probability, and statistics, statisticians, mathematicians, and economists.

An intuitive and mathematical introduction to subjective probability and Bayesian statistics. An accessible, comprehensive guide to the theory of Bayesian statistics, Principles of Uncertainty presents the subjective Bayesian approach, which has played a pivotal role in game theory, economics, and the recent boom in Markov Chain Monte Carlo methods. Both rigorous and friendly, the book contains: <ul>
<li>Introductory chapters examining each new concept or assumption</li> <li>Just-in-time mathematics – the presentation of ideas just before they are applied</li> <li>Summary and exercises at the end of each chapter</li> <li>Discussion of maximization of expected utility </li> <li>The basics of Markov Chain Monte Carlo computing techniques</li> <li>Problems involving more than one decision-maker</li> </ul> Written in an appealing, inviting style, and packed with interesting examples, Principles of Uncertainty introduces the most compelling parts of mathematics, computing, and philosophy as they bear on statistics. Although many books present the computation of a variety of statistics and algorithms while barely skimming the philosophical ramifications of subjective probability, this book takes a different tack. By addressing how to think about uncertainty, this book gives readers the intuition and understanding required to choose a particular method for a particular purpose.

See the best price to sell, buy, or rent books by Kadane, Joseph B.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Kadane, Joseph B.

See the best price to sell, buy, or rent books by Kadane, Joseph B.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Statistics in the Law: A Practitioner's Guide, Cases, and Materials

Principles of Uncertainty (Chapman & Hall/CRC Texts in Statistical Science)

Pragmatics of Uncertainty (Chapman & Hall/CRC Texts in Statistical Science)

A Probabilistic Analysis of the Sacco and Vanzetti Evidence

Rethinking the Foundations of Statistics (Cambridge Studies in Probability, Induction and Decision Theory)

Rethinking the Foundations of Statistics (Cambridge Studies in Probability, Induction and Decision Theory)

Principles of Uncertainty (Chapman & Hall/CRC Texts in Statistical Science)

Rethinking the Foundations of Statistics (Cambridge Studies in Probability, Induction and Decision Theory)

Principles of Uncertainty (Chapman & Hall/CRC Texts in Statistical Science)

Pragmatics of Uncertainty (Chapman & Hall/CRC Texts in Statistical Science)