-35% OFFBayesian Computation with R (English, Jim Albert)
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Specifications
| Publisher | Springer |
| Language | English |
| ISBN-13 | 9780387922973 |
| ISBN-10 | 0387922970 |
| Author | Jim Albert |
Product Description
Here on GlowMirror, you'll find Bayesian Computation with R filed under Springer -- everything you need to know is covered below.
About the Book
There has been dramatic growth in the development and application of Bayesian inference in statistics. Berger (2000) documents the increase in Bayesian activity by the number of published research articles, the number of books, andtheextensivenumberofapplicationsofBayesianarticlesinapplied disciplines such as science and engineering. One reason for the dramatic growth in Bayesian modeling is the availab- ity of computational algorithms to compute…
ISBN: 9780387922973
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Bayesian Computation with R
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Springer
Who Should Read This
Students and professionals interested in Springer, as well as general readers looking to expand their knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
Customer Reviews
Five Stars
I didn't know the package number, so I couldn't search where my book is. However, it was perfectly arrived.
Good book on the topic- some minor needs
Great book - good concrete examples. It COULD, IMHO, have gone farther into using Bayesian methods with regression models and how the likelihood function for the posterior is generated. It also needs solutions to the chapter exercises in order to improve its utility as a tool for self-education.
Five Stars
Full of examples and codes.Really helpedalso LearnBayes package SO helpfulstrong recommending to buy
Five Stars
It meets my expectations. Thank you Mr Jim Albert.
