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Making the cut: improved ranking and selection for large-scale inference

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  • Nicholas C. Henderson
  • Michael A. Newton

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  • Nicholas C. Henderson & Michael A. Newton, 2016. "Making the cut: improved ranking and selection for large-scale inference," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(4), pages 781-804, September.
    • Handle: RePEc:bla:jorssb:v:78:y:2016:i:4:p:781-804
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    File URL: http://hdl.handle.net/10.1111/rssb.12131
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    References listed on IDEAS

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    1. Smyth Gordon K, 2004. "Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 3(1), pages 1-28, February.
    2. Tom Brijs & Dimitris Karlis & Filip Van den Bossche & Geert Wets, 2007. "A Bayesian model for ranking hazardous road sites," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(4), pages 1001-1017, October.
    3. Susan M. Paddock & Thomas A. Louis, 2011. "Percentile‐based empirical distribution function estimates for performance evaluation of healthcare providers," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 60(4), pages 575-589, August.
    4. Xie, Minge & Singh, Kesar & Zhang, Cun-Hui, 2009. "Confidence Intervals for Population Ranks in the Presence of Ties and Near Ties," Journal of the American Statistical Association, American Statistical Association, vol. 104(486), pages 775-788.
    5. Nan M. Laird & Thomas A. Louis, 1989. "Empirical Bayes Ranking Methods," Journal of Educational and Behavioral Statistics, , vol. 14(1), pages 29-46, March.
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    Cited by:

    1. Jiaying Gu & Roger Koenker, 2023. "Invidious Comparisons: Ranking and Selection as Compound Decisions," Econometrica, Econometric Society, vol. 91(1), pages 1-41, January.
    2. Jiaying Gu & Roger Koenker, 2020. "Invidious Comparisons: Ranking and Selection as Compound Decisions," Papers 2012.12550, arXiv.org, revised Sep 2021.

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