Symposium Probability and Inference in the Law of Evidence PDF Download

Author: Symposium on Probability and Inference in the Law of Evidence
Publisher:
ISBN:
Category :
Languages : en
Pages : 576

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Author: Peter Tillers
Publisher: Springer
ISBN: 9789401078207
Category : Science
Languages : en
Pages : 0

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Book Description
This book explores the nature of factual inference in adjudication. The book should be useful to students of law in Continental Europe as well as to students of Anglo-American law. While a good many countries do not use the sorts of rules of evidence found in the Anglo-American legal tradition, their procedural systems nevertheless frequently use a variety of rules and principles to regulate and structure the acquisition, presentation, and evalu ation of evidence. In this sense, almost all legal systems have a law of proof. This book should also be useful to scholars in fields other than law. While the papers focus on inference in adjudication, they deal with a wide variety of issues that are important in disciplines such as the philosophy of science, statistics, and psychology. For example, there is extensive discussion of the role of generalizations and hypotheses in inference and of the significance of the fact that the actors who evaluate data also in some sense constitute the data that they evaluate. Furthermore, explanations of the manner in which some legal systems structure fact-finding processes may highlight features of inferential processes that have yet to be adequately tackled by scholars in fields other than law.

Author: Boston University. School of Law
Publisher:
ISBN:
Category : Bayesian statistical decision theory
Languages : en
Pages : 576

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Author:
Publisher:
ISBN:
Category : Bagnesian statistical decision theory
Languages : en
Pages :

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Author: Boston University. School of Law
Publisher:
ISBN:
Category : Evidence (Law)
Languages : en
Pages : 576

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Author: Sir Richard Eggleston
Publisher: Weidenfeld & Nicolson
ISBN:
Category : Law
Languages : en
Pages : 296

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Author: Christian Dahlman
Publisher: Oxford University Press
ISBN: 0192603094
Category : Law
Languages : en
Pages : 433

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Book Description
Philosophy has a strong presence in evidence law and the nature of evidence is a highly debated topic in both general and social epistemology; legal theorists working in the evidence law area draw on different underlying philosophical theories of knowledge, inference and probability. Core evidentiary concepts and principles, such as the presumption of innocence, standards of proof, and others, reply on moral and political philosophy for their understanding and interpretation. Written by leading scholars across the globe, this volume brings together philosophical debates on the nature and function of evidence, proof, and law of evidence. It presents a cross-disciplinary overview of central issues in the theory and methodology of legal evidence and covers a wide range of contemporary debates on topics such as truth, proof, economics, gender, and race. The volume covers different theoretical approaches to legal evidence, including the Bayesian approach, scenario theory and inference to the best explanation. Divided in to five parts, Philosophical Foundations of Evidence Law, covers different theoretical approaches to legal evidence, including the Bayesian approach, scenario theory and inference to the best explanation.

Author: David A. Schum
Publisher: Northwestern University Press
ISBN: 9780810118218
Category : History
Languages : en
Pages : 572

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Book Description
In this work Schum develops a general theory of evidence as it is understood and applied across a broad range of disciplines and practical undertakings. He include insights from law, philosophy, logic, probability, semiotics, artificial intelligence, psychology and history.

Author: Deborah G. Mayo
Publisher: Cambridge University Press
ISBN: 1108563309
Category : Mathematics
Languages : en
Pages : 503

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Book Description
Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.

Author: Richard Royall
Publisher: Routledge
ISBN: 1351414550
Category : Mathematics
Languages : en
Pages : 212

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Book Description
Interpreting statistical data as evidence, Statistical Evidence: A Likelihood Paradigm focuses on the law of likelihood, fundamental to solving many of the problems associated with interpreting data in this way. Statistics has long neglected this principle, resulting in a seriously defective methodology. This book redresses the balance, explaining why science has clung to a defective methodology despite its well-known defects. After examining the strengths and weaknesses of the work of Neyman and Pearson and the Fisher paradigm, the author proposes an alternative paradigm which provides, in the law of likelihood, the explicit concept of evidence missing from the other paradigms. At the same time, this new paradigm retains the elements of objective measurement and control of the frequency of misleading results, features which made the old paradigms so important to science. The likelihood paradigm leads to statistical methods that have a compelling rationale and an elegant simplicity, no longer forcing the reader to choose between frequentist and Bayesian statistics.