Results 271 to 280 of about 259,116 (299)

A review of recent advances in empirical likelihood

Wiley Interdisciplinary Reviews: Computational Statistics, 2023
Yichuan Zhao
exaly  

On empirical composite likelihoods

2010
Composite likelihood functions are convenient surrogates for the ordinary likelihood, when the latter is too difficult or even impractical to compute, and they may be more robust to model misspecication. One drawback of composite likelihood methods is that the composite likelihood analogue of the likelihood ratio statistic does not have the standard 2 ...
LUNARDON, NICOLA, PAULI, FRANCESCO, Ventura L.   +2 more
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Empirical Likelihood with Applications

2017
The maximum likelihood method for regular parametric models has many optimality properties. As a result, it is one of the most popular methods in statistical inference. However, model mis-specification is a big concern since a misspecified model may lead to bias results.
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Connections Among Marginal Likelihood, Conditional Likelihood and Empirical Likelihood

2017
In this Chapter we present the results by Qin and Zhang (Biometrika 92:251–270, 2005) and Li and Qin (JASA 496:1476–1484, 2011) on the connection between marginal likelihood, conditional likelihood and empirical likelihood.
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Parametric Empirical Bayes Inference: Theory and Applications

Journal of the American Statistical Association, 1983
Carl N Morris
exaly   +2 more sources

Empirical Likelihood

2018
Albert Vexler, Alan D. Hutson
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Empirical Likelihood

2017
Albert Vexler, Alan D. Hutson, Xiwei Chen   +2 more
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- Optimality of Empirical Likelihood and Plug-in Empirical Likelihood

2015
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empirical likelihood

2008
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The empirical assessment of construct validity

Journal of Operations Management, 1998
Robert J Vokurka
exaly