Empirical Dynamics and Functional Data Analysis

DOI10.1007/978-3-7908-2604-3_19zbMath1436.62719OpenAlexW76248335MaRDI QIDQ3298467

Hans-Georg Müller

Publication date: 14 July 2020

Published in: Proceedings of COMPSTAT'2010 (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-7908-2604-3_19

zbMATH Keywords

dynamicsGaussian processdrift term

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Gaussian processes (60G15) Functional data analysis (62R10) Nonparametric estimation (62G05)

Uses Software

• fda (R)
• PACE

Cites Work

• Functional linear regression analysis for longitudinal data
• Dynamic relations for sparsely sampled Gaussian processes
• Empirical dynamics for longitudinal data
• Nonparametric regression analysis of growth curves
• Distance-based clustering of sparsely observed stochastic processes, with applications to online auctions
• Diagnostics for functional regression via residual processes
• Linear processes in function spaces. Theory and applications
• Generalized functional linear models
• Functional data analysis.
• Searching for Structure in Curve Sample
• Pairwise curve synchronization for functional data
• Modelling Sparse Generalized Longitudinal Observations with Latent Gaussian Processes
• Estimating Derivatives for Samples of Sparsely Observed Functions, With Application to Online Auction Dynamics
• Functional quadratic regression
• Functional Additive Models
• Functional Data Analysis for Sparse Longitudinal Data
• Functional Variance Processes
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