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Bayesian computation with R
There has been a dramatic growth in the development and application of Bayesian inferential methods. Some of this growth is due to the availability of powerful simulation-based algorithms to summarize posterior distributions. There has been also a growing interest in the use of the system R for stat...
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| Lenguaje: | eng |
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Springer
2009
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| Acceso en línea: | https://dx.doi.org/10.1007/978-0-387-92298-0 http://cds.cern.ch/record/1401929 |
| _version_ | 1780923678705319936 |
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| author | Albert, Jim |
| author_facet | Albert, Jim |
| author_sort | Albert, Jim |
| collection | CERN |
| description | There has been a dramatic growth in the development and application of Bayesian inferential methods. Some of this growth is due to the availability of powerful simulation-based algorithms to summarize posterior distributions. There has been also a growing interest in the use of the system R for statistical analyses. R's open source nature, free availability, and large number of contributor packages have made R the software of choice for many statisticians in education and industry. Bayesian Computation with R introduces Bayesian modeling by the use of computation using the R language. The earl |
| id | cern-1401929 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2009 |
| publisher | Springer |
| record_format | invenio |
| spelling | cern-14019292021-04-22T00:47:32Zdoi:10.1007/978-0-387-92298-0http://cds.cern.ch/record/1401929engAlbert, JimBayesian computation with RMathematical Physics and MathematicsThere has been a dramatic growth in the development and application of Bayesian inferential methods. Some of this growth is due to the availability of powerful simulation-based algorithms to summarize posterior distributions. There has been also a growing interest in the use of the system R for statistical analyses. R's open source nature, free availability, and large number of contributor packages have made R the software of choice for many statisticians in education and industry. Bayesian Computation with R introduces Bayesian modeling by the use of computation using the R language. The earlSpringeroai:cds.cern.ch:14019292009 |
| spellingShingle | Mathematical Physics and Mathematics Albert, Jim Bayesian computation with R |
| title | Bayesian computation with R |
| title_full | Bayesian computation with R |
| title_fullStr | Bayesian computation with R |
| title_full_unstemmed | Bayesian computation with R |
| title_short | Bayesian computation with R |
| title_sort | bayesian computation with r |
| topic | Mathematical Physics and Mathematics |
| url | https://dx.doi.org/10.1007/978-0-387-92298-0 http://cds.cern.ch/record/1401929 |
| work_keys_str_mv | AT albertjim bayesiancomputationwithr |