Bayesian Logical Data Analysis for the Physical Sciences by Phil Gregory

Bayesian Logical Data Analysis for the Physical Sciences by Phil Gregory

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Summary

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.

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Bayesian Logical Data Analysis for the Physical Sciences by Phil Gregory

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 (R) notebooks are available.
'As well as the usual topics to be found in a text on Bayesian inference, chapters are included on frequentist inference (for contrast), non-linear model fitting, spectral analysis and Poisson sampling' Zentralblatt MATH
'The examples are well integrated with the text and are enlightening.' Contemporary Physics
'The book can easily keep the readers amazed and attracted to its content throughout the read and make them want to return back to it recursively. It presents a perfect balance between theoretical inference and a practical know-how approach to Bayesian methods.' Stan Lipovetsky, Technometrics
Phil Gregory is Professor Emeritus at the Department of Physics and Astronomy at the University of British Columbia.
SKU Unavailable
ISBN 13 9780521150125
ISBN 10 0521150124
Title Bayesian Logical Data Analysis for the Physical Sciences
Author Phil Gregory
Condition Unavailable
Binding Type Paperback
Publisher Cambridge University Press
Year published 2010-05-20
Number of pages 488
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
Note Unavailable