A Bayesian method for simultaneous registration and clustering of functional observations

DOI10.1016/j.csda.2016.02.010zbMath1466.62217OpenAlexW2296355482MaRDI QIDQ1659066

David B. Hitchcock, Zizhen Wu

Publication date: 15 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.2016.02.010

zbMATH Keywords

functional datacurve registrationtime warping

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Functional data analysis (62R10) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (2)

Testing linearity in partial functional linear quantile regression model based on regression rank scores ⋮ Online EM for functional data

Uses Software

• fda (R)
• HSAUR

Cites Work

• Unnamed Item
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• Simultaneous curve registration and clustering for functional data
• \(k\)-mean alignment for curve clustering
• Estimating the dimension of a model
• On automatic boundary corrections
• Functional data analysis.
• Cluster Analysis
• Time-synchronized clustering of gene expression trajectories
• Model-Based Clustering, Discriminant Analysis, and Density Estimation
• Clustering for Sparsely Sampled Functional Data
• Functional Clustering and Identifying Substructures of Longitudinal Data
• A practical guide to splines.
• A new look at the statistical model identification

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