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.
| ISBN-13: | 9781441928283 |
| ISBN-10: | 1441928286 |
| Publisher: | Springer New York |
| Publication date: | 2010-11-19 |
| Edition description: | Softcover reprint of hardcover 1st ed. 2009 |
| Pages: | 272 |
| Product dimensions: | Height: 9.25 Inches, Length: 6.1 Inches, Weight: 1.00089866948 Pounds, Width: 0.64 Inches |
| Author: | Peter D. Hoff |
| Language: | en |
| Binding: | Paperback |
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