Kernel-based global MLE of partial linear random effects models for longitudinal data

DOI10.1080/10485252.2017.1339308zbMATH Open1398.62095OpenAlexW2625632143MaRDI QIDQ4600185

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Publication date: 5 January 2018

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485252.2017.1339308

zbMATH Keywords

longitudinal datasemiparametric modelGaussian quadraturerandom effectsasymptotic procedurepooled local maximum likelihood

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20)

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Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration

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