Composite Quantile Periodogram for Spectral Analysis
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Publication:2789389
DOI10.1111/JTSA.12143zbMath1417.62263OpenAlexW2154714507MaRDI QIDQ2789389
Publication date: 29 February 2016
Published in: Journal of Time Series Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/jtsa.12143
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Inference from stochastic processes and spectral analysis (62M15)
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Cites Work
- The Adaptive Lasso and Its Oracle Properties
- Quantile spectral processes: asymptotic analysis and inference
- Composite quantile regression and the oracle model selection theory
- A robust periodogram for high-resolution spectral analysis
- Asymptotics for M-type smoothing splines
- Rates of convergence for empirical processes of stationary mixing sequences
- Limiting distributions for \(L_1\) regression estimators under general conditions
- Of copulas, quantiles, ranks and spectra: an \(L_{1}\)-approach to spectral analysis
- The Estimation and Tracking of Frequency
- A CENTRAL LIMIT THEOREM FOR MIXING TRIANGULAR ARRAYS OF VARIABLES WHOSE DEPENDENCE IS ALLOWED TO GROW WITH THE SAMPLE SIZE
- The Role of Pseudo Data for Robust Smoothing with Application to Wavelet Regression
- Laplace Periodogram for Time Series Analysis
- Regression Quantiles
- Quantile Spectral Analysis for Locally Stationary Time Series
- Quantile Periodograms
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