Multivariate functional data modeling with time-varying clustering

DOI10.1007/s11749-020-00733-zzbMath1479.62096arXiv1904.11518OpenAlexW3085163539MaRDI QIDQ2666063

Alan E. Gelfand, Philip A. White

Publication date: 22 November 2021

Published in: Test (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1904.11518

zbMATH Keywords

dimension reductionDirichlet processhierarchical modelmultivariate Gaussian processlatent factor modelsozone\(\mathrm{PM_{10}}\)

Mathematics Subject Classification ID

Gaussian processes (60G15) Functional data analysis (62R10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to environmental and related topics (62P12) Continuous-time Markov processes on general state spaces (60J25) Meteorology and atmospheric physics (86A10)

Related Items

Spatial functional data modeling of plant reflectances, Penalized model-based clustering of complex functional data, Factor models for high‐dimensional functional time series I: Representation results

Uses Software

• fda (R)
• spBayes
• AS 136

Cites Work

• Algorithm AS 136: A K-Means Clustering Algorithm
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