Real-Parameter Evolutionary Monte Carlo With Applications to Bayesian Mixture Models
โ Scribed by Liang, Faming; Wong, Wing Hung
- Book ID
- 125550716
- Publisher
- American Statistical Association
- Year
- 2001
- Tongue
- English
- Weight
- 487 KB
- Volume
- 96
- Category
- Article
- ISSN
- 0162-1459
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## Abstract An error model for Bayesian Monte Carlo retrieval algorithms which explicitly accounts for uncertainty introduced by the use of a finite database of realizations, as well as uncertainties associated with the modelling and measurement components of the retrieval is described. The model p
The Bayesian perspective on statistics asserts that it makes sense synthetic data with substantial added random noise, we demto speak of a probability of an unknown parameter having a particonstrate that the error estimates obtained using the Bayesian ular value. Given a model for an observed, noise