Bayesian Theory and Applications -
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The development of hierarchical models and Markov chain Monte Carlo (MCMC) techniques forms one of the most profound advances in Bayesian analysis since the 1970s and provides the basis for advances in virtually all areas of applied and theoretical Bayesian statistics.
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Description
The development of hierarchical models and Markov chain Monte Carlo (MCMC) techniques forms one of the most profound advances in Bayesian analysis since the 1970s and provides the basis for advances in virtually all areas of applied and theoretical Bayesian statistics.
More Information
| Publisher | OUP Oxford |
|---|---|
| Release year | 2015 |
| Cover type | Softcover |
| EAN | 9780198739074 |