This compact, self-contained introduction to the theory and application of Bayesian statistical methods is accessible to those with a basic familiarity with probability, yet allows advanced readers to grasp the principles underlying Bayesian theory and method.
Omschrijving
* A self-contained introduction to probability, exchangeability and Bayes' rule provides a theoretical understanding of the applied material. * Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves. * The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.
Productspecificaties
- Auteur: Peter D. Hoff
- Serie: Springer Texts in Statistics
- Uitgever: Springer-Verlag New York Inc.
- Verschijningsdatum: 2009-06-15
- Aantal pagina's: 271
- ISBN: 9780387922997
- Thema: Probability and statistics
- BISAC: MATHEMATICS / Probability & Statistics / General