A multivariate single-index model for longitudinal data

DOI10.1177/1471082X16655633OpenAlexW2474936174MaRDI QIDQ5142157

Jingwei Wu, Wanzhu Tu

Publication date: 30 December 2020

Published in: Statistical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/1471082x16655633

zbMATH Keywords

single-index modelP-splinemixed effect modelmultivariate settingpenalizing nonlinear least squares

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Large-sample estimation and inference in multivariate single-index models

Uses Software

• S-PLUS
• nlme
• WinBUGS
• SemiPar
• MEMSS

Cites Work

• A statistical perspective on ill-posed inverse problems (with discussion)
• Semiparametric least squares (SLS) and weighted SLS estimation of single-index models
• That BLUP is a good thing: The estimation of random effects. With comments and a rejoinder by the author
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Optimal smoothing in single-index models
• Semi-parametric estimation of partially linear single-index models
• Investigating Smooth Multiple Regression by the Method of Average Derivatives
• Consistent Estimation of Scaled Coefficients
• Newton-Raphson and EM Algorithms for Linear Mixed-Effects Models for Repeated-Measures Data
• Sliced Inverse Regression for Dimension Reduction
• Best Linear Unbiased Estimation and Prediction under a Selection Model
• Penalized Spline Estimation for Partially Linear Single-Index Models
• Mixed-Effects Models in S and S-PLUS
• An Adaptive Estimation of Dimension Reduction Space
• A Family of Variable-Metric Methods Derived by Variational Means
• A new approach to variable metric algorithms
• The Convergence of Single-Rank Quasi-Newton Methods
• Conditioning of Quasi-Newton Methods for Function Minimization

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