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OverviewFull Product DetailsAuthor: Stefano Andreon , Brian WeaverPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 2015 ed. Volume: 4 Dimensions: Width: 15.50cm , Height: 1.60cm , Length: 23.50cm Weight: 5.486kg ISBN: 9783319152868ISBN 10: 3319152866 Pages: 238 Publication Date: 02 June 2015 Audience: College/higher education , Professional and scholarly , Postgraduate, Research & Scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Language: English Table of ContentsRecipes.- A Bit of Theory.- A Bit of Numerical Computation.- Single Parameter Models.- The Prior.- Multi-parameters Models.- Non-random Data Collection.- Fitting Regression Models.- Model Checking and Sensitivity Analysis.- Bayesian vs Simple Methods.- Appendix: Probability Distributions.- Appendix: The third axiom of probability, conditional probability, independence and conditional independence.ReviewsBayesian statistical methods are fast becoming the statistical method of choice among the majority of physicists and astrophysicists who find they must statistically evaluate their study data. Bayesian Methods for the Physical Sciences is co-authored by a noted astrophysicist and an accomplished Los Alamos statistician who specializes in this area of application. Together they have produced a true guidebook to the Bayesian modeling of astrophysical data. JAGS code is used and displayed for the many examples employed in the text. The book is comprehensive, well written, and will surely be regarded as a standard text in both astrostatistics and physical statistics. Joseph M. Hilbe, President, International Astrostatistics Association, Professor Emeritus, University of Hawaii, and Adjunct Professor of Statistics, Arizona State University Andreon and Weaver ... have written a book that could be a valuable component in the new Computational Data Analysis course. ... Bayesian Methods for the Physical Sciences begins with basic probability calculus and introduces complex models and concepts as it goes along. ... Most of the content is presented through real-world examples that could easily be adopted or adapted to new tasks. (David W. Hogg, Physics Today, Issue 6, June, 2016) Bayesian statistical methods are fast becoming the statistical method of choice among the majority of physicists and astrophysicists who find they must statistically evaluate their study data. Bayesian Methods for the Physical Sciences is co-authored by a noted astrophysicist and an accomplished Los Alamos statistician who specializes in this area of application. Together they have produced a true guidebook to the Bayesian modeling of astrophysical data. JAGS code is used and displayed for the many examples employed in the text. The book is comprehensive, well written, and will surely be regarded as a standard text in both astrostatistics and physical statistics. Joseph M. Hilbe, President, International Astrostatistics Association, Professor Emeritus, University of Hawaii, and Adjunct Professor of Statistics, Arizona State University Author InformationStefano Andreon is an astronomer of the National Institute of Astrophysics, Brera Observatory (Milan, Italy). Stefano's research is focused on understanding the evolution of galaxies and of galaxy clusters, near and far, and adopting Bayesian methods. He also teaches Bayesian methods to PhD students of various Italian and French Universities, is a Member of the Executive Board of International Astrostatistics Association, and is first author of more than 50 referred papers. Brian Weaver is a scientist with the Statistical Sciences group at Los Alamos National Laboratory. His research interests include Monte Carlo methods, parallel computing, Bayesian design of experiments, dynamic linear models, model calibration, and applying statistics to the physical and engineering sciences. He is a mentor to both graduate and undergraduate students in statistics at Los Alamos and is a recipient of the Llyod S. Nelson award. Tab Content 6Author Website:Countries AvailableAll regions |
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