Bayesian programming

Bayesian programming

by Bessière, Pierre

Type Book
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Probability as an Alternative to Boolean LogicWhile logic is the mathematical foundation of rational reasoning and the fundamental principle of computing, it is restricted to problems where information is both complete and certain. However, many real-world problems, from financial investments to email filtering, are incomplete or uncertain in nature. Probability theory and Bayesian computing together provide an alternative framework to deal with incomplete and uncertain data. Decision-Making To…

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Title Statements

  • Full title :Bayesian programming / Pierre Bessiere, Emmanuel Mazer, Juan Manuel Ahuactzin, Kamel Mekhnacha.

Summary

Probability as an Alternative to Boolean LogicWhile logic is the mathematical foundation of rational reasoning and the fundamental principle of computing, it is restricted to problems where information is both complete and certain. However, many real-world problems, from financial investments to email filtering, are incomplete or uncertain in nature. Probability theory and Bayesian computing together provide an alternative framework to deal with incomplete and uncertain data. Decision-Making Tools and Methods for Incomplete and Uncertain DataEmphasizing prob.

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Edition Statements

  • Publication Date:2013.

Publication Statements

  • Publisher(s):Chapman & Hall/CRC
  • Place of Publication:Boca Raton
  • Language:eng
  • Publication Date:2013.

Notes

Previously issued in print: 2012.

The Physical Object

  • Description:1 online resource

Edition Identifiers

  • ISBN:9781439880333, 1439880336, 1439880328, 9781439880326, 9781306500555, 1306500559
  • oclc:ocn870427453
  • LC Classification:QA76.6
  • Dewey Decimal:005.101519542

Table of Contents

Front Cover; Dedication; Contents; Foreword; Preface; Chapter 1: Introduction; Part I: Bayesian Programming Principles; Chapter 2: Basic Concepts; Chapter 3: Incompleteness and Uncertainty; Chapter 4: Description = Specification + Identification; Chapter 5: The Importance of Conditional Independence; Chapter 6: Bayesian Program = Description + Question; Part II: Bayesian Programming Cookbook; Chapter 7: Information Fusion; Chapter 8: Bayesian Programming with Coherence Variables; Chapter 9: Bayesian Programming Subroutines; Chapter 10: Bayesian Programming Conditional Statement.

Chapter 11: Bayesian Programming IterationPart III: Bayesian Programming Formalism and Algorithms; Chapter 12: Bayesian Programming Formalism; Chapter 13: Bayesian Models Revisited; Chapter 14: Bayesian Inference Algorithms Revisited; Chapter 15: Bayesian Learning Revisited; Part IV: Frequently Asked Questions -- Frequently Argued Matters; Chapter 16: Frequently Asked Questions and Frequently Argued Matters; Chapter 17: Glossary; Bibliography.

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Subjects

Bayesian statistical decision theory --… Computer science -- Mathematics Informatique -- Mathématiques Théorie de la décision bayésienne -- In…

Writers

Bessière, Pierre Ahuactzin, Juan-Manuel Mazer, Emmanuel Mekhnacha, Kamel

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