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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Zusammenfassung

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 Nicht verfügbar
ISBN 13 9780521150125
ISBN 10 0521150124
Titel Bayesian Logical Data Analysis for the Physical Sciences
Autor Phil Gregory
Buchzustand Nicht verfügbar
Bindungsart Paperback
Verlag Cambridge University Press
Erscheinungsjahr 2010-05-20
Seitenanzahl 488
Hinweis auf dem Einband Die Abbildung des Buches dient nur Illustrationszwecken, die tatsächliche Bindung, das Cover und die Auflage können sich davon unterscheiden.
Hinweis Nicht verfügbar