M-estimation and B-spline approximation for varying coefficient models with longitudinal data
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Publication:3535704
DOI10.1080/10485250802375950zbMath1147.62028OpenAlexW2015271685MaRDI QIDQ3535704
Publication date: 14 November 2008
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10485250802375950
Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Nonparametric tolerance and confidence regions (62G15) Monte Carlo methods (65C05)
Related Items (21)
M-estimation and model identification based on double SCAD penalization ⋮ Variable selection for longitudinal varying coefficient errors-in-variables models ⋮ Bayesian estimation of time-varying parameters in ordinary differential equation models with noisy time-varying covariates ⋮ Quantile regression estimation of partially linear additive models ⋮ Estimation and Inference for Dynamic Single-Index Varying-Coefficient Models ⋮ Wavelet-L1-estimation for non parametric location-scale models under a general dependence framework ⋮ Unnamed Item ⋮ Variable selection for varying coefficient models with measurement errors ⋮ Variable selection for semiparametric varying-coefficient partially linear models with missing response at random ⋮ Empirical likelihood of varying coefficient errors-in-variables models with longitudinal data ⋮ Testing the constancy in varying-coefficient regression models ⋮ Quickly variable selection for varying coefficient models with missing response at random ⋮ Robust estimation and model identification for longitudinal data varying-coefficient model ⋮ M-based simultaneous inference for the mean function of functional data ⋮ Variable selection for fixed effects varying coefficient models ⋮ Variable selection for semiparametric varying coefficient partially linear errors-in-variables models ⋮ B-spline estimation for spatial data ⋮ Nonparametric M-estimation for functional stationary ergodic data ⋮ A double varying-coefficient modeling approach for analyzing longitudinal observations ⋮ New efficient spline estimation for varying-coefficient models with two-step knot number selection ⋮ Varying-coefficient mean-covariance regression analysis for longitudinal data
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