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On empirical composite likelihoods
2010Composite 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 +2 more
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A Composite Likelihood Approach to Multivariate Survival Data
Scandinavian Journal of Statistics, 2001This paper is about the statistical analysis of multivariate survival data. We discuss the additive and multiplicative frailty models which have been the most popular models for multivariate survival data. As an alternative to the additive and multiplicative frailty models, we propose basing inference on a composite likelihood function that only ...
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On the robustness of maximum composite likelihood estimate
Journal of Statistical Planning and Inference, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xu, Ximing, Reid, N.
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Polymer composite materials: A comprehensive review
Composite Structures, 2021Rachid Hsissou +2 more
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Stochastic Composite Likelihood.
J. Mach. Learn. Res., 2010Joshua V. Dillon, Guy Lebanon
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Composite materials based on silk proteins
Progress in Polymer Science, 2010John G Hardy, Thomas Scheibel
exaly
Supercapacitors Based on Flexible Graphene/Polyaniline Nanofiber Composite Films
ACS Nano, 2010Qiong Wu, Yuxi Xu, Zhiyi Yao
exaly
Smooth Nanowire/Polymer Composite Transparent Electrodes
Advanced Materials, 2011Whitney Gaynor +2 more
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