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Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica Support

Phil Gregory
Publisher: 
Cambridge University Press
Publication Date: 
2010
Number of Pages: 
468
Format: 
Paperback
Price: 
60.00
ISBN: 
9780521150125
Category: 
Textbook
We do not plan to review this book.

Preface; Acknowledgements; 1. Role of probability theory in science; 2. Probability theory as extended logic; 3. The how-to of Bayesian inference; 4. Assigning probabilities; 5. Frequentist statistical inference; 6. What is a statistic?; 7. Frequentist hypothesis testing; 8. Maximum entropy probabilities; 9. Bayesian inference (Gaussian errors); 10. Linear model fitting (Gaussian errors); 11. Nonlinear model fitting; 12. Markov Chain Monte Carlo; 13. Bayesian spectral analysis; 14. Bayesian inference (Poisson sampling); Appendix A. Singular value decomposition; Appendix B. Discrete Fourier transforms; Appendix C. Difference in two samples; Appendix D. Poisson ON/OFF details; Appendix E. Multivariate Gaussian from maximum entropy; References; Index.

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