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Estimating Expected Value of Sample Information for Incomplete Data Models Using Bayesian Approximation

✍ Scribed by Kharroubi, S. A.; Brennan, A.; Strong, M.

Book ID
124098694
Publisher
SAGE Publications
Year
2011
Tongue
English
Weight
332 KB
Volume
31
Category
Article
ISSN
0272-989X

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✍ Alan Brennan; Samer A. Kharroubi πŸ“‚ Article πŸ“… 2007 πŸ› John Wiley and Sons 🌐 English βš– 254 KB πŸ‘ 3 views

## Abstract Expected value of sample information (EVSI) involves simulating data collection, Bayesian updating, and re‐examining decisions. Bayesian updating in Weibull models typically requires Markov chain Monte Carlo (MCMC). We examine five methods for calculating posterior expected net benefit