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Simple nuclear norm based algorithms for imputing missing data and forecasting in time series

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Publication:1748612
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DOI10.4310/SII.2017.V10.N1.A2zbMath1388.62247OpenAlexW2525732060MaRDI QIDQ1748612

Xianqiang Yang

Publication date: 14 May 2018

Published in: Statistics and Its Interface (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.4310/sii.2017.v10.n1.a2


zbMATH Keywords

time series analysisnuclear normstructured low rank approximation


Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics (62P99) Numerical computation of matrix norms, conditioning, scaling (65F35)


Related Items (2)

On Two‐Stage Estimation of the Spectral Density with Assigned Risk in Presence of Missing Data ⋮ On sequential spectral analysis of amplitude-modulated time series







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