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Bayesian Inference Algorithms Revisited
| Content Provider | Scilit |
|---|---|
| Author | Bessiere, Pierre Mazer, Emmanuel Ahuactzin, Juan Mekhnacha, Kamel |
| Copyright Year | 2013 |
| Description | Before starting to crunch numbers, it is usually possible (and wise) to make some symbolic computations to reduce the amount of numerical computation required. The first section of this chapter presents the different possibilities. We will see that these symbolic computations can be either exact or approximate. Book Name: Bayesian Programming |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2011-0-04854-1&isbn=9780429066627&doi=10.1201/b16111-21&format=pdf |
| Ending Page | 298 |
| Page Count | 34 |
| Starting Page | 265 |
| DOI | 10.1201/b16111-21 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2013-12-20 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Bayesian Programming History and Philosophy of Science Possibilities Inference Algorithms Algorithms Revisited |
| Content Type | Text |
| Resource Type | Chapter |