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Mathematical Theory of Arguments for Statistical Evidence

Language EnglishEnglish
Book Paperback
Book Mathematical Theory of Arguments for Statistical Evidence P. A. Monney
Libristo code: 06956768
The subject of this book is the reasoning under uncertainty based on statistical evidence. The conce... Full description
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The subject of this book is the reasoning under uncertainty based on statistical evidence. The concepts are developed, explained and illustrated in the context of the mathematical theory of hints, which is a variant of the Dempster-Shafer theory of evidence. In the first two chapters, the theory of generalized functional models for a discrete parameter is developed, which leads to a general notion of weight of evidence. The second part of the book is dedicated to the study of special linear functional models called Gaussian linear systems. Finally, it is shown that the celebrated Kalman filter can easily be derived by local propagation of Gaussian hints in a Markov tree.

About the book

Full name Mathematical Theory of Arguments for Statistical Evidence
Author P. A. Monney
Language English
Binding Book - Paperback
Date of issue 2002
Number of pages 154
EAN 9783790815276
ISBN 3790815276
Libristo code 06956768
Weight 260
Dimensions 140 x 216 x 10
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