Multiscale spectral modelling for nonstationary time series within an ordered multiple-trial experiment

DOI10.1214/22-AOAS1614zbMath1498.62210MaRDI QIDQ2080792

Hernando Ombao, Marina I. Knight, Jonathan Embleton

Publication date: 10 October 2022

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

zbMATH Keywords

neurosciencecross-trial dependencewavelet-based spectra

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Inference from stochastic processes and spectral analysis (62M15)

Related Items (2)

Wavelet testing for a replicate-effect within an ordered multiple-trial experiment ⋮ Multiscale spectral modelling for nonstationary time series within an ordered multiple-trial experiment

Uses Software

• WaveThresh4
• haarfisz
• TSA

Cites Work

• The local partial autocorrelation function and some applications
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• Multiscale spectral modelling for nonstationary time series within an ordered multiple-trial experiment
• Wavelet spectral testing: application to nonstationary circadian rhythms
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• Estimating linear dependence between nonstationary time series using the locally stationary wavelet model
• Ten Lectures on Wavelets
• Spectral Analysis of Replicated Biomedical Time Series
• Spectral analysis with replicated time series
• Estimating Time-Evolving Partial Coherence Between Signals via Multivariate Locally Stationary Wavelet Processes
• A Test for Second-Order Stationarity and Approximate Confidence Intervals for Localized Autocovariances for Locally Stationary Time Series
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• A Study of Mexican Free-Tailed Bat Chirp Syllables: Bayesian Functional Mixed Models for Nonstationary Acoustic Time Series
• Exploring dependence between brain signals in a monkey during learning
• SLEX Analysis of Multivariate Nonstationary Time Series
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