Partial derivative estimation for underlying functional-valued process in a unified framework

DOI10.1155/2020/6086983zbMath1442.62772OpenAlexW3000357373MaRDI QIDQ2176027

Xuan Luo, Fanyin Zhou, Yun-bei Ma

Publication date: 30 April 2020

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

Full work available at URL: https://doi.org/10.1155/2020/6086983

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Functional data analysis (62R10)

Uses Software

• fda (R)

Cites Work

• Unnamed Item
• Uniform convergence rates for nonparametric regression and principal component analysis in functional/longitudinal data
• Estimating the dimension of a model
• Functional data analysis.
• Properties of principal component methods for functional and longitudinal data analysis
• An optimal selection of regression variables
• Modeling Repeated Functional Observations
• Estimating Derivatives for Samples of Sparsely Observed Functions, With Application to Online Auction Dynamics
• Modelling Function-Valued Stochastic Processes, with Applications to Fertility Dynamics
• On Properties of Functional Principal Components Analysis
• Functional Data Analysis for Sparse Longitudinal Data

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