Functional semiparametric partially linear model with autoregressive errors

DOI10.1016/j.jmva.2008.06.008zbMath1178.62033OpenAlexW2155637837MaRDI QIDQ1049535

Serge Guillas, Sophie Dabo-Niang

Publication date: 12 January 2010

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2008.06.008

zbMATH Keywords

semiparametric regressionautocorrelationfunctional data

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Point estimation (62F10) Monte Carlo methods (65C05)

Related Items (10)

Bayesian bandwidth estimation for a nonparametric functional regression model with unknown error density ⋮ Efficiency in multivariate functional nonparametric models with autoregressive errors ⋮ Partially linear modeling of conditional quantiles using penalized splines ⋮ Quantile estimation for a hybrid model of functional and varying coefficient regressions ⋮ Varying coefficient partially functional linear regression models ⋮ Partial functional linear regression with autoregressive errors ⋮ Asymptotic results for the linear parameter estimate in partially linear additive regression model ⋮ Functional Partial Linear Single‐index Model ⋮ Semiparametric estimation for partially linear models with \(\psi\)-weak dependent errors ⋮ Model selection and model averaging for semiparametric partially linear models with missing data

Uses Software

• astsa

Cites Work

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