Robust template estimation for functional data with phase variability using band depth

DOI10.1016/j.csda.2018.03.009zbMath1469.62046OpenAlexW2794877217MaRDI QIDQ1662920

Weilong Zhao, Jason Cleveland, Wei Wu

Publication date: 20 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2018.03.009

zbMATH Keywords

registrationfunctional data analysistime warpingband depthtemplate estimation

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Functional data analysis (62R10)

Uses Software

• fda (R)

Cites Work

• A half-region depth for functional data
• On a notion of data depth based on random simplices
• Robust estimation and classification for functional data via projection-based depth notions
• The random Tukey depth
• Statistical tools to analyze data representing a sample of curves
• Alignment of curves by dynamic time warping
• Trimmed means for functional data
• Curve alignment by moments
• Functional data analysis.
• The spatial distribution in infinite dimensional spaces and related quantiles and depths
• Combining Registration and Fitting for Functional Models
• Searching for Structure in Curve Sample
• Pairwise curve synchronization for functional data
• Curve Registration
• An Accelerated-Time Model for Response Curves
• Self-Modelling Warping Functions
• Nonparametric models for functional data, with application in regression, time series prediction and curve discrimination
• Multivariate Functional Halfspace Depth
• On the Concept of Depth for Functional Data
• Functional Convex Averaging and Synchronization for Time-Warped Random Curves

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