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The Highest Confidence Density Region and Its Usage for Joint Inferences about Constrained Parameters

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  • Lu Tian
  • Rui Wang
  • Tianxi Cai
  • Lee-Jen Wei

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  • Lu Tian & Rui Wang & Tianxi Cai & Lee-Jen Wei, 2011. "The Highest Confidence Density Region and Its Usage for Joint Inferences about Constrained Parameters," Biometrics, The International Biometric Society, vol. 67(2), pages 604-610, June.
    • Handle: RePEc:bla:biomet:v:67:y:2011:i:2:p:604-610
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2010.01486.x
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    References listed on IDEAS

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    1. Tore Schweder & Nils Lid Hjort, 2002. "Confidence and Likelihood," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 29(2), pages 309-332, June.
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    Cited by:

    1. Wei Wang & Shou‐En Lu & Jerry Q. Cheng & Minge Xie & John B. Kostis, 2022. "Multivariate survival analysis in big data: A divide‐and‐combine approach," Biometrics, The International Biometric Society, vol. 78(3), pages 852-866, September.
    2. T. Chen & S. Tracy & H. Uno, 2021. "OptBand: optimization-based confidence bands for functions to characterize time-to-event distributions," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 27(3), pages 481-498, July.
    3. David R. Bickel, 2014. "Small-scale Inference: Empirical Bayes and Confidence Methods for as Few as a Single Comparison," International Statistical Review, International Statistical Institute, vol. 82(3), pages 457-476, December.
    4. Ben O’Neill, 2022. "Smallest covering regions and highest density regions for discrete distributions," Computational Statistics, Springer, vol. 37(3), pages 1229-1254, July.

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