Selecting the normal population with the best regression value -- a Bayesian approach
DOI10.1016/0378-3758(94)90144-9zbMath0797.62013OpenAlexW1981839008MaRDI QIDQ1330222
Duncan K. H. Fong, James H. Albert, Mo-Suk Chow
Publication date: 8 September 1994
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0378-3758(94)90144-9
selectionexchangeabilityleast-squaresMonte Carlo integrationGibbs samplinghierarchical Bayescovariateunequal variancesposterior probabilitiesintra-class regression modellargest population meanlargest regression valuelargest sample regression valuemultiple slopesorder reversalranking probability
Bayesian inference (62F15) Statistical ranking and selection procedures (62F07) Numerical integration (65D30) Probabilistic methods, stochastic differential equations (65C99)
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Cites Work
- Statistical decision theory and Bayesian analysis. 2nd ed
- Antithetic acceleration of Monte Carlo integration in Bayesian inference
- Bayesian procedures for detecting a change in a sequence of random variables
- Empirical Bayes Estimation of Rates in Longitudinal Studies
- Ranking and estimation of related means in two—way models—a Bayesian approach
- Sampling-Based Approaches to Calculating Marginal Densities
- A Bayesian Approach to Ranking and Selection of Related Means With Alternatives to Analysis-of-Variance Methodology
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- Ranking and Estimation of Related Means in the Presence of a Covariate-A Bayesian Approach
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