Lasso-type estimators for semiparametric nonlinear mixed-effects models estimation

DOI10.1007/s11222-013-9380-xzbMath1325.62070arXiv1202.0502OpenAlexW2112802420MaRDI QIDQ892492

Karine Bertin, Vincent Rivoirard, Ana Arribas-Gil, Cristian Meza

Publication date: 19 November 2015

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1202.0502

zbMATH Keywords

semiparametric estimationSAEM algorithmLassononlinear mixed-effects modelon-line auction

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Ridge regression; shrinkage estimators (Lasso) (62J07) Nonparametric estimation (62G05)

Related Items

Classification of longitudinal data through a semiparametric mixed‐effects model based on lasso‐type estimators ⋮ Variable selection in identification of a high dimensional nonlinear non-parametric system ⋮ A SAEM algorithm for fused Lasso penalized nonlinear mixed effect models: application to group comparison in pharmacokinetics ⋮ Semi-parametric segmentation of multiple series using a DP-Lasso strategy ⋮ Minimax wavelet estimation for multisample heteroscedastic nonparametric regression

Uses Software

• S-PLUS
• gss
• MEMSS
• assist

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