Time-varying functional principal components for non-stationary \(\text{EpCO}_2\) in freshwater systems

DOI10.1007/S13253-022-00494-2OpenAlexW4220938105WikidataQ125971650 ScholiaQ125971650MaRDI QIDQ2102970

Marian Scott, Amira Elayouty, Claire Miller

Publication date: 12 December 2022

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-022-00494-2

zbMATH Keywords

frequency domainsmoothingnon-stationarityfunctional time seriespartial pressure of carbon dioxide

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Uses Software

• fda (R)

Cites Work

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• Time-dependent frequency domain principal components analysis of multichannel non-stationary signals
• Functional data analysis
• Frequency domain theory for functional time series: variance decomposition and an invariance principle
• Fréchet estimation of time-varying covariance matrices from sparse data, with application to the regional co-evolution of myelination in the developing brain
• Cramér-Karhunen-Loève representation and harmonic principal component analysis of functional time series
• Testing stationarity of functional time series
• Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains
• Functional Models for Time-Varying Random Objects
• HIGHER-ORDER ACCURATE, POSITIVE SEMIDEFINITE ESTIMATION OF LARGE-SAMPLE COVARIANCE AND SPECTRAL DENSITY MATRICES
• Dynamic Functional Principal Components

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