Empirical Likelihood Test for High Dimensional Generalized Linear Models

Yangguang Zang; Qingzhao Zhang; Sanguo Zhang; Qizhai Li; Shuangge Ma

doi:10.1007/978-3-319-41573-4_2

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Empirical Likelihood Test for High Dimensional Generalized Linear Models

Yangguang Zang Qingzhao Zhang Sanguo Zhang Qizhai Li Shuangge Ma

Year: 2017 Contributions to statistics Pages: 29-50

DOI: 10.1007/978-3-319-41573-4_2

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Keywords:

Covariate Statistics Mathematics Type I and type II errors Test statistic Null hypothesis Statistical hypothesis testing Score test Likelihood-ratio test Generalized linear model Lasso (programming language) Logistic regression Sample size determination False discovery rate Generalized estimating equation Nuisance parameter Asymptotic distribution Multiple comparisons problem Computer science Biology Estimator Genetics

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods in Clinical Trials

Physical Sciences → Mathematics → Statistics and Probability

Gene expression and cancer classification

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Empirical Likelihood Test for High Dimensional Generalized Linear Models

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