Core shape modelling of a set of curves

DOI10.1016/j.csda.2009.08.003zbMath1464.62032OpenAlexW2015544238MaRDI QIDQ962261

S. Boudaoud, Olivier Meste, Hervé Rix

Publication date: 6 April 2010

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

Full work available at URL: https://doi.org/10.1016/j.csda.2009.08.003

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Related Items (4)

Statistics of time warpings and phase variations ⋮ \(k\)-mean alignment for curve clustering ⋮ Functional data analysis of amplitude and phase variation ⋮ A k-means procedure based on a Mahalanobis type distance for clustering multivariate functional data

Uses Software

• fda (R)

Cites Work

• Corrected integral shape averaging applied to obstructive sleep apnea detection from the electrocardiogram
• Applied functional data analysis. Methods and case studies
• Synchronizing sample curves nonparametrically
• Functional data analysis.
• Nonparametric Maximum Likelihood Estimation for Shifted Curves
• Searching for Structure in Curve Sample
• Pairwise curve synchronization for functional data
• Time-synchronized clustering of gene expression trajectories
• Nonparametric maximum likelihood estimation of the structural mean of a sample of curves
• Bayesian Hierarchical Curve Registration
• Curve Registration
• Estimating Smooth Monotone Functions
• Self-Modelling Warping Functions
• Integral shape averaging and structural average estimation: a comparative study
• Self Modeling Nonlinear Regression
• Functional Convex Averaging and Synchronization for Time-Warped Random Curves

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