Evidence Theory and Its Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Evidence Theory and Its Applications write by Jiwen W. Guan. This book was released on 1991. Evidence Theory and Its Applications available in PDF, EPUB and Kindle. An introduction to evidence theory and its applications is presented in this book. It is based on the important Dempster-Shafer theory, which significantly generalizes classic Bayesian statistics and has proved to be useful in a variety of applications. The aim of the volume is to bring the theory up to date by focusing, in particular, on key work by Shafer and Logan as well as on some of the authors' own contributions. as: artificial intelligence, expert systems, information systems, computer science, decision making, problem solving, business management, statistics, and mathematics. This systematic self-contained description of evidence theory based on set theory is suitable for both lectures and self-study and should serve to strengthen the reader's background and problem-solving abilities.
A Mathematical Theory of Evidence
A Mathematical Theory of Evidence - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Mathematical Theory of Evidence write by Glenn Shafer. This book was released on 2020-06-30. A Mathematical Theory of Evidence available in PDF, EPUB and Kindle. Both in science and in practical affairs we reason by combining facts only inconclusively supported by evidence. Building on an abstract understanding of this process of combination, this book constructs a new theory of epistemic probability. The theory draws on the work of A. P. Dempster but diverges from Depster's viewpoint by identifying his "lower probabilities" as epistemic probabilities and taking his rule for combining "upper and lower probabilities" as fundamental. The book opens with a critique of the well-known Bayesian theory of epistemic probability. It then proceeds to develop an alternative to the additive set functions and the rule of conditioning of the Bayesian theory: set functions that need only be what Choquet called "monotone of order of infinity." and Dempster's rule for combining such set functions. This rule, together with the idea of "weights of evidence," leads to both an extensive new theory and a better understanding of the Bayesian theory. The book concludes with a brief treatment of statistical inference and a discussion of the limitations of epistemic probability. Appendices contain mathematical proofs, which are relatively elementary and seldom depend on mathematics more advanced that the binomial theorem.
Classic Works of the Dempster-Shafer Theory of Belief Functions
Classic Works of the Dempster-Shafer Theory of Belief Functions - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Classic Works of the Dempster-Shafer Theory of Belief Functions write by Ronald R. Yager. This book was released on 2008-01-22. Classic Works of the Dempster-Shafer Theory of Belief Functions available in PDF, EPUB and Kindle. This is a collection of classic research papers on the Dempster-Shafer theory of belief functions. The book is the authoritative reference in the field of evidential reasoning and an important archival reference in a wide range of areas including uncertainty reasoning in artificial intelligence and decision making in economics, engineering, and management. The book includes a foreword reflecting the development of the theory in the last forty years.
Belief Functions: Theory and Applications
Belief Functions: Theory and Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Belief Functions: Theory and Applications write by Thierry Denoeux. This book was released on 2012-04-26. Belief Functions: Theory and Applications available in PDF, EPUB and Kindle. The theory of belief functions, also known as evidence theory or Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the context of statistical inference, and was later developed by Glenn Shafer as a general framework for modeling epistemic uncertainty. These early contributions have been the starting points of many important developments, including the Transferable Belief Model and the Theory of Hints. The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and has well understood connections to other frameworks such as probability, possibility and imprecise probability theories. This volume contains the proceedings of the 2nd International Conference on Belief Functions that was held in Compiègne, France on 9-11 May 2012. It gathers 51 contributions describing recent developments both on theoretical issues (including approximation methods, combination rules, continuous belief functions, graphical models and independence concepts) and applications in various areas including classification, image processing, statistics and intelligent vehicles.
Probability and Forensic Evidence
Probability and Forensic Evidence - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Probability and Forensic Evidence write by Ronald Meester. This book was released on 2021-04-08. Probability and Forensic Evidence available in PDF, EPUB and Kindle. A self-contained examination of all aspects of statistical evidence evaluation in forensic science, from theory to concrete applications.
