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Penalized Exponentially Tilted Likelihood for Growing Dimensional Models with Missing Data.

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Bibliographic Details
Title: Penalized Exponentially Tilted Likelihood for Growing Dimensional Models with Missing Data.
Authors: Sha, Xiaoming, Zhao, Puying, Tang, Niansheng
Source: Entropy; Feb2025, Vol. 27 Issue 2, p146, 28p
Subject Terms: LIKELIHOOD ratio tests, THYROID gland, PROBABILITY theory, DATA modeling, EQUATIONS
Abstract: This paper develops a penalized exponentially tilted (ET) likelihood to simultaneously estimate unknown parameters and select variables for growing dimensional models with missing response at random. The inverse probability weighted approach is employed to compensate for missing information and to ensure the consistency of parameter estimators. Based on the penalized ET likelihood, we construct an ET likelihood ratio statistic to test the contrast hypothesis of parameters. Under some wild conditions, we obtain the consistency, asymptotic properties, and oracle properties of parameter estimators and show that the constrained penalized ET likelihood ratio statistic for testing the contrast hypothesis possesses the Wilks' property. Simulation studies are conducted to validate the finite sample performance of the proposed methodologies. Thyroid data taken from the First People's Hospital of Yunnan Province is employed to illustrate the proposed methodologies. [ABSTRACT FROM AUTHOR]
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Database: Complementary Index
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Abstract:This paper develops a penalized exponentially tilted (ET) likelihood to simultaneously estimate unknown parameters and select variables for growing dimensional models with missing response at random. The inverse probability weighted approach is employed to compensate for missing information and to ensure the consistency of parameter estimators. Based on the penalized ET likelihood, we construct an ET likelihood ratio statistic to test the contrast hypothesis of parameters. Under some wild conditions, we obtain the consistency, asymptotic properties, and oracle properties of parameter estimators and show that the constrained penalized ET likelihood ratio statistic for testing the contrast hypothesis possesses the Wilks' property. Simulation studies are conducted to validate the finite sample performance of the proposed methodologies. Thyroid data taken from the First People's Hospital of Yunnan Province is employed to illustrate the proposed methodologies. [ABSTRACT FROM AUTHOR]
ISSN:10994300
DOI:10.3390/e27020146