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Showing 1 to 1 of 1 for “"Singular Spectrum Analysis, Time Series, Spiked Covariance Model, Missing Data"”.

  1. Time series estimation in a spiked signal regime

    Working with missing or incomplete data is a universal problem in all sciences. In meteorology, temperature data streams can contain missing values due to sensor malfunctions. In geophysical remote sensing, missing data can may be attributed to irregular global sampling by an orbiting spacecraft. …

    uiuc Repository record for Time series estimation in a spiked signal regime (opens in a new tab)