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Showing 1 to 4 of 4 for “"quadratic inference function"”.
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Analysis of Models for Longitudinal and Clustered Binary Data
… the generalized estimating equations and the quadratic inference function methods for estimating the regression parameter in marginal models. Relative efficiency calculations show these methods when compared to the likelihood estimates could result in significant loss in efficiency for highly …
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Model selection for correlated data and moment selection from high-dimensional moment conditions
… sample size increases. We propose the penalized quadratic inference function to perform model selection and estimation simultaneously in the framework of a diverging number of regression parameters. The penalized quadratic inference function can easily take correlation information from clustered …
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Dimension reduction and efficient recommender system for large-scale complex data
… to substantial loss of efficiency. We apply the quadratic inference function to incorporate the correlation information and apply the transformation method to recover the central subspace. The proposed estimators are shown to be consistent and more efficient than the ones assuming independence. …
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Mixed Effects Modeling and Correlation Structure Selection for High Dimensional Correlated Data
… distribution of the random effects, the inference based on the random effects could be invalid. We propose a new approach to estimate fixed and random effects using conditional quadratic inference functions. The new approach does not require any specification of the likelihood functions. …