Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica® Support - Softcover
Synopsis
A clear exposition of the underlying concepts, containing large numbers of worked examples and problem sets, first published in 2005.
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About the Author
Phil Gregory is Professor Emeritus at the Department of Physics and Astronomy at the University of British Columbia.
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Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica® Support
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Cambridge University Press (edition 1), 2010
ISBN 10: 0521150124
ISBN 13: 9780521150125
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Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica(r) Support
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Cambridge University Press, 2010
ISBN 10: 0521150124
ISBN 13: 9780521150125
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Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica® Support
Published by
Cambridge University Press, 2010
ISBN 10: 0521150124
ISBN 13: 9780521150125
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Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica® Support
Published by
Cambridge University Press, 2010
ISBN 10: 0521150124
ISBN 13: 9780521150125
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Softcover. Condition: Fair. Anmerkungen / bekritzelt / Stempel; Leichte Kratzer / Abnutzungen / Druckstellen. Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estimates by many orders of magnitude. This book provides a clear exposition of the underlying concepts with many worked examples and problem sets. It also discusses implementation, including an introduction to Markov chain Monte-Carlo integration and linear and nonlinear model fitting. Particularly extensive coverage of spectral analysis (detecting and measuring periodic signals) includes a self-contained introduction to Fourier and discrete Fourier methods. There is a chapter devoted to Bayesian inference with Poisson sampling, and three chapters on frequentist methods help to bridge the gap between the frequentist and Bayesian approaches. Seller Inventory # 69f0a1d3-877b-4ddc-a5e1-55a187d396a3
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Bayesian Logical Data Analysis for the Physical Sciences : A Comparative Approach With Mathematica Support
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ISBN 10: 0521150124
ISBN 13: 9780521150125
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Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica® Support
Published by
Cambridge University Press, 2010
ISBN 10: 0521150124
ISBN 13: 9780521150125
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Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica® Support
Published by
Cambridge University Press, 2010
ISBN 10: 0521150124
ISBN 13: 9780521150125
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Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica® Support
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ISBN 10: 0521150124
ISBN 13: 9780521150125
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Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica Support
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ISBN 13: 9780521150125
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Bayesian Logical Data Analysis for the Physical Sciences : A Comparative Approach With Mathematica Support
Published by
Cambridge University Press, 2010
ISBN 10: 0521150124
ISBN 13: 9780521150125
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