On estimation in varying coefficient models for sparse and irregularly sampled functional data
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Publication:5082871
DOI10.1080/03610918.2019.1661478OpenAlexW2971485782WikidataQ127321313 ScholiaQ127321313MaRDI QIDQ5082871
Publication date: 21 June 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1711.09548
regularizationreproducing kernel Hilbert spacesparsityfunctional data analysisvarying coefficient model
Uses Software
Cites Work
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- From sparse to dense functional data and beyond
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- Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
- Functional Varying Coefficient Models for Longitudinal Data
- Functional Data Analysis for Sparse Longitudinal Data
- Theory of Reproducing Kernels
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