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Model checking and model improvement
| Content Provider | Scilit |
|---|---|
| Author | Gilks, W. R. Richardson, S. Spiegelhalter, David |
| Copyright Year | 1995 |
| Description | Any Markov chain simulation is conditional on an assumed model. As the applied chapters of this book these models can be complicated and generally rely on inherently unverifiable assumptions. From a practical standpoint, it is important both to explore how inferences of substantive interest depend on such assumptions, and to check these aspects of the model whenever feasible. Book Name: Markov Chain Monte Carlo in Practice |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2009-0-07055-0&isbn=9780429170232&doi=10.1201/b14835-16&format=pdf |
| Ending Page | 220 |
| Page Count | 14 |
| Starting Page | 207 |
| DOI | 10.1201/b14835-16 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 1995-12-01 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Markov Chain Monte Carlo in Practice History and Philosophy of Science Statistics and Probability Unverifiable |
| Content Type | Text |
| Resource Type | Chapter |