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Robust Bayesian Analysis (Lecture Notes in Statistics)
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Description for Robust Bayesian Analysis (Lecture Notes in Statistics)
Paperback. Surveys developments in one of the most active areas of statistics. Editor(s): Insua, David; Ruggeri, Fabrizio. Series: Lecture Notes in Statistics. Num Pages: 422 pages, 6 black & white illustrations, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 22. Weight in Grams: 670.
Robust Bayesian analysis aims at overcoming the traditional objection to Bayesian analysis of its dependence on subjective inputs, mainly the prior and the loss. Its purpose is the determination of the impact of the inputs to a Bayesian analysis (the prior, the loss and the model) on its output when the inputs range in certain classes. If the impact is considerable, there is sensitivity and we should attempt to further refine the information the incumbent classes available, perhaps through additional constraints on and/ or obtaining additional data; if the impact is not important, robustness holds and no further analysis and ... Read more
Robust Bayesian analysis aims at overcoming the traditional objection to Bayesian analysis of its dependence on subjective inputs, mainly the prior and the loss. Its purpose is the determination of the impact of the inputs to a Bayesian analysis (the prior, the loss and the model) on its output when the inputs range in certain classes. If the impact is considerable, there is sensitivity and we should attempt to further refine the information the incumbent classes available, perhaps through additional constraints on and/ or obtaining additional data; if the impact is not important, robustness holds and no further analysis and ... Read more
Product Details
Format
Paperback
Publication date
2000
Publisher
Springer
Condition
New
Series
Lecture Notes in Statistics
Number of Pages
422
Place of Publication
New York, NY, United States
ISBN
9780387988665
SKU
V9780387988665
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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