Hardcover. Increasingly, researchers in many branches of science are coming into contact with Bayesian statistics or Bayesian probability theory. By encompassing both inductive and deductive logic, Bayesian analysis can improve model parameter estimates by many orders of magnitude. It provides a simple and unified approach to all data analysis problems, allowing the experimenter to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. This book provides a clear exposition of the underlying concepts with large numbers of worked examples and problem sets. The book also discusses numerical techniques for implementing the Bayesian calculations, including an introduction to Markov Chain Monte-Carlo integration and linear and nonlinear least-squares analysis seen from a Bayesian perspective. In addition, background material is provided in appendices and supporting Mathematica notebooks are available, providing an easy learning route for upper-undergraduates, graduate students, or any serious researcher in physical sciences or engineering. Increasingly, researchers in many branches of science are coming into contact with Bayesian statistics or Bayesian probability theory. This book provides a clear exposition of the underlying concepts with large numbers of worked examples and problem sets. Background material is provided in appendices and supporting Mathematica notebooks are available. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Bibliografische Details

Titel: Bayesian Logical Data Analysis for the Physical Sciences (Hardcover)
Verlag: Cambridge University Press, Cambridge
Erscheinungsjahr: 2005
Sprache: Englisch
ISBN-10: 052184150X
ISBN-13: 9780521841504
Einband: Hardcover
Zustand: new

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A clear exposition of the underlying concepts, containing large numbers of worked examples and problem sets, first published in 2005.

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Phil Gregory is Professor Emeritus at the Department of Physics and Astronomy at the University of British Columbia.

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