Decision theoretic Bayesian hypothesis testing with the selection goal
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DOI: 10.1524/stnd.2007.25.1.19
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- Abughalous, Mansour M. & Bansal, Naveen K., 1995. "On selecting the best natural exponential families with quadratic variance function," Statistics & Probability Letters, Elsevier, vol. 25(4), pages 341-349, December.
- Naveen Bansal & Sudhir Gupta, 1997. "On the natural selection rule in general linear models," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 46(1), pages 59-69, January.
- Ishwaran H. & Rao J.S., 2003. "Detecting Differentially Expressed Genes in Microarrays Using Bayesian Model Selection," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 438-455, January.
- Efron B. & Tibshirani R. & Storey J.D. & Tusher V., 2001. "Empirical Bayes Analysis of a Microarray Experiment," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 1151-1160, December.
- Bansal, Naveen K. & Misra, Neeraj & van der Meulen, Edward C., 1997. "On the minimax decision rules in ranking problems," Statistics & Probability Letters, Elsevier, vol. 34(2), pages 179-186, June.
- Yoav Benjamini & Daniel Yekutieli, 2005. "False Discovery Rate-Adjusted Multiple Confidence Intervals for Selected Parameters," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 71-81, March.
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