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Bayesian Computation with R - Use R! Jim Albert 2nd ed. 2009 edition
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Bayesian Computation with R - Use R!
Jim Albert
This environment should be such that one can: write short scripts to de?ne a Bayesian model use or write functions to summarize a posterior distribution use functions to simulate from the posterior distribution construct graphs to illustrate the posterior inference An environment that meets these requirements is the R system.
312 pages, biography
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | May 15, 2009 |
| ISBN13 | 9780387922973 |
| Publishers | Springer-Verlag New York Inc. |
| Pages | 300 |
| Dimensions | 155 × 236 × 3 mm · 453 g |
| Language | English |
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