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The following pages link to On the choice of parameters in singular spectrum analysis and related subspace-based methods (Q440224):

Displaying 18 items.

Perturbation expansions of signal subspaces for long signals (Q440226) (← links)
The benefits of multivariate singular spectrum analysis over the univariate version (Q681209) (← links)
Stochastic algorithms for solving structured low-rank matrix approximation problems (Q907198) (← links)
Basic singular spectrum analysis and forecasting with R (Q1621374) (← links)
A new approach for selecting the number of the eigenvalues in singular spectrum analysis (Q1660849) (← links)
Multivariate posterior singular spectrum analysis (Q1697862) (← links)
Optimal rank-1 Hankel approximation of matrices: Frobenius norm and spectral norm and Cadzow's algorithm (Q1979358) (← links)
Optimization challenges in the structured low rank approximation problem (Q2434635) (← links)
A note on window length selection in singular spectrum analysis (Q2802834) (← links)
Moment tests for window length selection in singular spectrum analysis of short- and long-memory processes (Q2852487) (← links)
Difference-based Methods for Truncating the Singular Value Decomposition (Q3178493) (← links)
On the Optimal Parameters for Reconstruction and Forecasting in Singular Spectrum Analysis (Q4921603) (← links)
Posterior singular spectrum analysis (Q4969915) (← links)
A new approach for the vector forecast algorithm in singular spectrum analysis (Q5087986) (← links)
On Singular Spectrum Analysis And Stepwise Time Series Reconstruction (Q5111778) (← links)
Remark on the accuracy of recurrent forecasting in singular spectrum analysis (Q6040314) (← links)
Particularities and commonalities of singular spectrum analysis as a method of time series analysis and signal processing (Q6601092) (← links)
Statistical methods for predicting e-cigarette use events based on beat-to-beat interval (BBI) data collected from wearable devices (Q6618311) (← links)