From zero crossings to quantile-frequency analysis of time series with an application to nondestructive evaluation
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Publication:6578174
DOI10.1002/asmb.2499MaRDI QIDQ6578174
Publication date: 25 July 2024
Published in: Applied Stochastic Models in Business and Industry (Search for Journal in Brave)
classificationtime seriesdiscriminant analysisquantile regressionspectral analysislevel crossingsmachine learningfunctional principal component
Cites Work
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- The extremogram: a correlogram for extreme events
- A survey of cross-validation procedures for model selection
- A robust periodogram for high-resolution spectral analysis
- Time series discrimination by higher order crossings
- Time series: theory and methods.
- Support-vector networks
- Of copulas, quantiles, ranks and spectra: an \(L_{1}\)-approach to spectral analysis
- Composite quantile periodogram for spectral analysis
- On robust spectral analysis by least absolute deviations
- Discrimination of Time Series by Parametric Filtering
- Statistical Analysis of Financial Data in S-Plus
- Laplace Periodogram for Time Series Analysis
- Time-correlation analysis of nonstationary time series
- Time Series Characterization, Poisson Integral, and Robust Divergence Measures
- M-periodogram for the analysis of long-range-dependent time series
- QUANTILE PERIODOGRAM AND TIME‐DEPENDENT VARIANCE
- Linear Model Selection by Cross-Validation
- Hard-limiting of two signals in random noise
- Selecting the Number of Principal Components in Functional Data
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