- 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.
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A First Course in Bayesian Statistical Methods.pdf (3.16 MB, 需要: 10 个论坛币)
Product Details
- Series: Springer Texts in Statistics
- Paperback: 272 pages
- Publisher: Springer; Softcover reprint of hardcover 1st ed. 2009 edition (November 19, 2010)
- Language: English
- ISBN-10: 1441928286
- ISBN-13: 978-1441928283
- Product Dimensions: 6.1 x 0.6 x 9.2 inches