Properties and applications of the generalized likelihood as a summary function for prediction problems

Edward J. Bedrick; Joe R. Hill

doi:10.1111/1467-9469.00170

Properties and applications of the generalized likelihood as a summary function for prediction problems

Edward J. Bedrick
, Joe R. Hill

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

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.

Original language	English (US)
Pages (from-to)	593-609
Number of pages	17
Journal	Scandinavian Journal of Statistics
Volume	26
Issue number	4
DOIs	https://doi.org/10.1111/1467-9469.00170
State	Published - Dec 1999
Externally published	Yes

Keywords

Bayesian prediction
Empirical Bayesian model
Induction
Likelihood
Predictive likelihood

ASJC Scopus subject areas

Statistics and Probability
Statistics, Probability and Uncertainty

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10.1111/1467-9469.00170

Cite this

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title = "Properties and applications of the generalized likelihood as a summary function for prediction problems",

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.",

keywords = "Bayesian prediction, Empirical Bayesian model, Induction, Likelihood, Predictive likelihood",

author = "Bedrick, \{Edward J.\} and Hill, \{Joe R.\}",

year = "1999",

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AU - Hill, Joe R.

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AB - 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.

KW - Bayesian prediction

KW - Empirical Bayesian model

KW - Induction

KW - Likelihood

KW - Predictive likelihood

UR - https://www.scopus.com/pages/publications/0033481120

UR - https://www.scopus.com/pages/publications/0033481120#tab=citedBy

U2 - 10.1111/1467-9469.00170

DO - 10.1111/1467-9469.00170

M3 - Article

AN - SCOPUS:0033481120

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JO - Scandinavian Journal of Statistics

JF - Scandinavian Journal of Statistics

IS - 4

ER -

Properties and applications of the generalized likelihood as a summary function for prediction problems

Abstract

Keywords

ASJC Scopus subject areas

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