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Properties and Applications of the Generalized Likelihood as a Summary Function for Prediction Problems

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  • Edward J. Bedrick
  • Joe R. Hill

Abstract

The generalized likelihood plays an important role in parametric inference for prediction and empirical Bayesian models. This paper emphasizes the utility of the generalized likelihood as a summarization procedure in general prediction models. Properties of the generalized likelihood when used in this setting, and examples of its use as a data analytic tool are given in a series of numerical examples.

Suggested Citation

  • 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.
    • Handle: RePEc:bla:scjsta:v:26:y:1999:i:4:p:593-609
    DOI: 10.1111/1467-9469.00170
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    Cited by:

    1. Youngjo Lee & Gwangsu Kim, 2016. "H-likelihood Predictive Intervals for Unobservables," International Statistical Review, International Statistical Institute, vol. 84(3), pages 487-505, December.

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