Integral least-squares inferences for semiparametric models with functional data

DOI10.1155/2014/632039zbMath1442.62089OpenAlexW2124037089WikidataQ59053875 ScholiaQ59053875MaRDI QIDQ2336606

Limian Zhao, Pei Xin Zhao

Publication date: 19 November 2019

Published in: Journal of Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/632039

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Functional data analysis (62R10)

Uses Software

• fda (R)

Cites Work

• Functional linear regression analysis for longitudinal data
• Single and multiple index functional regression models with nonparametric link
• Functional PLS logit regression model
• Functional data analysis
• Applied functional data analysis. Methods and case studies
• Partial functional linear regression
• Functional projection pursuit regression
• Semi-functional partial linear regression
• Nonparametric functional data analysis. Theory and practice.
• Statistical inferences for functional data
• Nonparametric regression for functional data: automatic smoothing parameter selection
• Functional partial linear model
• Cross-validated estimations in the single-functional index model
• Asymptotic Confidence Regions for Kernel Smoothing of a Varying-Coefficient Model with Longitudinal Data
• Nonparametric models for functional data, with application in regression, time series prediction and curve discrimination
• Empirical Likelihood for a Varying Coefficient Model With Longitudinal Data

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