Profile Likelihood Inferences on the Partially Linear Model with a Diverging Number of Parameters

DOI10.1080/03610926.2011.654042zbMath1462.62276OpenAlexW2018589473MaRDI QIDQ2815338

Xiaoguang Wang, Xiaoning Kang, Lixin Song

Publication date: 28 June 2016

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2011.654042

zbMATH Keywords

polynomial splinesprofile likelihoodpartially linear modelPLR statistic

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Linear regression; mixed models (62J05)

Cites Work

• Automatic model selection for partially linear models
• Profile likelihood inferences on semiparametric varying-coefficient partially linear models
• Profile-kernel likelihood inference with diverging number of parameters
• SCAD-penalized regression in high-dimensional partially linear models
• Convergence rates for partially splined models
• Generalized likelihood ratio statistics and Wilks phenomenon
• Nonparametric inference with generalized likelihood ratio tests (With comments and rejoinder)

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