E-Book, Englisch, 272 Seiten, eBook
Reihe: Springer Texts in Statistics
Marin / Robert Bayesian Core: A Practical Approach to Computational Bayesian Statistics
2007
ISBN: 978-0-387-38983-7
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 272 Seiten, eBook
Reihe: Springer Texts in Statistics
ISBN: 978-0-387-38983-7
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
This Bayesian modeling book is intended for practitioners and applied statisticians looking for a self-contained entry to computational Bayesian statistics. Focusing on standard statistical models and backed up by discussed real datasets available from the book website, it provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical justifications. Special attention is paid to the derivation of prior distributions in each case and specific reference solutions are given for each of the models. Similarly, computational details are worked out to lead the reader towards an effective programming of the methods given in the book.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Weitere Infos & Material
User’s Manual.- Normal Models.- Regression and Variable Selection.- Generalized Linear Models.- Capture–Recapture Experiments.- Mixture Models.- Dynamic Models.- Image Analysis.
