Bayesian parametric inference
Material type:![Book](/opac-tmpl/lib/famfamfam/BK.png)
- 9788173198007
- 519.5 BAN
Item type | Current library | Collection | Call number | Status | Date due | Barcode |
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IIT Gandhinagar | General | 519.5 BAN (Browse shelf(Opens below)) | Available | 002674 |
Bayesian Parametric Inference provides a systematic exposition and discusses in detail the conjugate and noninformative prior distributions, predictive distributions and their applications to problems of inventory control, finite populations, structural change in the model and control problems. Information theoretic approach to construct maximal data information prior and maximum entropy priors is also discussed. Bayesian decision theoretic approach is followed to obtain Bayes estimates under various loss functions. The concept of Bayes Factor for comparing hypotheses is explained with the help of some simple but illustrative examples--BOOK JACKET.
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