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The role of embedded integration rules in Bayesian statistics

โœ Scribed by Ronald Cools; Petros Dellaportas

Publisher
Springer US
Year
1996
Tongue
English
Weight
448 KB
Volume
6
Category
Article
ISSN
0960-3174

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โœฆ Synopsis

Numerical approximations are often used to implement the Bayesian paradigm in analytically intractable parametric models. We focus on embedded integration rules which are an attractive numerical integration tool and present theoretical results which justify their use in a Bayesian integration strategy.

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