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H-likelihood Predictive Intervals for Unobservables

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  • Youngjo Lee
  • Gwangsu Kim

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  • Youngjo Lee & Gwangsu Kim, 2016. "H-likelihood Predictive Intervals for Unobservables," International Statistical Review, International Statistical Institute, vol. 84(3), pages 487-505, December.
    • Handle: RePEc:bla:istatr:v:84:y:2016:i:3:p:487-505
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    File URL: http://hdl.handle.net/10.1111/insr.12115
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    References listed on IDEAS

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    1. Min-ge Xie & Kesar Singh, 2013. "Confidence Distribution, the Frequentist Distribution Estimator of a Parameter: A Review," International Statistical Review, International Statistical Institute, vol. 81(1), pages 3-39, April.
    2. Youngjo Lee & Jan F. Bjørnstad, 2013. "Extended likelihood approach to large-scale multiple testing," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 75(3), pages 553-575, June.
    3. Renjun Ma & Bent Jørgensen, 2007. "Nested generalized linear mixed models: an orthodox best linear unbiased predictor approach," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 69(4), pages 625-641, September.
    4. Edward J. Bedrick & Joe R. Hill, 1999. "Properties and Applications of the Generalized Likelihood as a Summary Function for Prediction Problems," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 26(4), pages 593-609, December.
    5. Anders Skrondal & Sophia Rabe‐Hesketh, 2007. "Latent Variable Modelling: A Survey," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 34(4), pages 712-745, December.
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    Cited by:

    1. Han, Jeongseop & Lee, Youngjo, 2024. "Enhanced Laplace approximation," Journal of Multivariate Analysis, Elsevier, vol. 202(C).
    2. Jin, Shaobo & Lee, Youngjo, 2024. "Standard error estimates in hierarchical generalized linear models," Computational Statistics & Data Analysis, Elsevier, vol. 189(C).

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