Adaptive testing for the partially linear single-index model with error-prone linear covariates

Zhensheng Huang; Quanxi Shao; Zhen Pang; Bingqing Lin

doi:10.1016/j.stamet.2014.12.002

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Adaptive testing for the partially linear single-index model with error-prone linear covariates

Zhensheng Huang Quanxi Shao Zhen Pang Bingqing Lin

Year: 2015 Journal: Statistical Methodology Vol: 25 Pages: 51-58 Publisher: Elsevier BV

DOI: 10.1016/j.stamet.2014.12.002

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Keywords:

Mathematics Covariate Model selection Linear model Inference Statistic Generalized linear model Algorithm Mathematical optimization Statistics Computer science Artificial intelligence

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Advanced Causal Inference Techniques

Physical Sciences → Mathematics → Statistics and Probability

Adaptive testing for the partially linear single-index model with error-prone linear covariates

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