CaterpillarSSA
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Related Items (61)
Vector and recurrent singular spectrum analysis: which is better at forecasting? ⋮ Basic singular spectrum analysis and forecasting with R ⋮ Nonlinear kernel density principal component analysis with application to climate data ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Smoothing non-stationary time series using the discrete cosine transform ⋮ A novel similarity measure based on eigenvalue distribution ⋮ selection of window length for singular spectrum analysis ⋮ An iterative approach for decomposition of multi-component non-stationary signals based on eigenvalue decomposition of the Hankel matrix ⋮ A new approach for selecting the number of the eigenvalues in singular spectrum analysis ⋮ A Review of Some Modern Approaches to the Problem of Trend Extraction ⋮ Approximation of quasiperiodic signal phase trajectory using directional regression ⋮ Spectral modeling of time series with missing data ⋮ Improvement of separability of time series in singular spectrum analysis using the method of independent component analysis ⋮ Filtering and frequency interpretations of singular spectrum analysis ⋮ A new approach for the vector forecast algorithm in singular spectrum analysis ⋮ Moving dynamic principal component analysis for non-stationary multivariate time series ⋮ Relationship between singular spectrum analysis and Fourier analysis: theory and application to the monitoring of volcanic activity ⋮ On the asymptotical separation of linear signals from harmonics by singular spectrum analysis ⋮ Minute-ahead stock price forecasting based on singular spectrum analysis and support vector regression ⋮ On the Least-Squares Fitting of Data by Sinusoids ⋮ An Adaptive Orthogonal SSA Decomposition Algorithm for a Time Series ⋮ Multivariate posterior singular spectrum analysis ⋮ Stochastic algorithms for solving structured low-rank matrix approximation problems ⋮ Singular spectrum analysis based on the perturbation theory ⋮ Optimization challenges in the structured low rank approximation problem ⋮ A comparison of stepwise common singular spectrum analysis and horizontal multi-channel singular spectrum analysis ⋮ Separability and window length in singular spectrum analysis ⋮ Multivariate singular spectrum analysis for forecasting revisions to real-time data ⋮ Forecasting before, during, and after recession with singular spectrum analysis ⋮ Swarm intelligence-based hybrid models for short-term power load prediction ⋮ Tourist number prediction of historic buildings by singular spectrum analysis ⋮ Extraction of sea temperature in the Barents Sea by a scale space multiresolution method – prospects for Atlantic salmon ⋮ A study of singular spectrum analysis with global optimization techniques ⋮ Designing a framework to improve time series data of construction projects: application of a simulation model and singular spectrum analysis ⋮ On the Empirical Spectral Distribution of Lag-Covariance Matrix in Singular Spectrum Analysis ⋮ Search for weights in the problem of finite-rank signal estimation in the presence of random noise ⋮ The benefits of multivariate singular spectrum analysis over the univariate version ⋮ Approximations of the boundary crossing probabilities for the maximum of moving weighted sums ⋮ New approaches to nonparametric density estimation and selection of smoothing parameters ⋮ Predicting daily exchange rate with singular spectrum analysis ⋮ Singular spectrum analysis based on the minimum variance estimator ⋮ The ``Caterpillar-SSA method for analysis of time series with missing values ⋮ مقایسهی تجربی مدلهای باکس- جنکینز، شبکههای عصبی مصنوعی و تحلیل مجموعهی مقادیر تکین در پیشبینی سریهای زمانی ⋮ Randomized singular spectrum analysis for long time series ⋮ Combining singular spectrum analysis and \(\mathrm{PAR}(p)\) structures to model wind speed time series ⋮ Exchange rate forecasting with optimum singular spectrum analysis ⋮ Estimating multi-country prosperity index: a two-dimensional singular spectrum analysis approach ⋮ Fast Cadzow's algorithm and a gradient variant ⋮ Nonlinear Laplacian spectral analysis: capturing intermittent and low‐frequency spatiotemporal patterns in high‐dimensional data ⋮ Posterior singular spectrum analysis ⋮ Prony methods for recovery of structured functions ⋮ Wavelet filtering of network traffic measurements ⋮ Common singular spectrum analysis of several time series ⋮ Dependence measures for model selection in singular spectrum analysis ⋮ Correlators of Polynomial Processes ⋮ On estimates of the spectrum of a linear operator ⋮ Prediction of chaotic dynamical processes based on detection of regular component ⋮ Modeling daily realized futures volatility with singular spectrum analysis ⋮ Comparison of families of algorithms for recognizing abnormal behavior of dynamic systems ⋮ Tensor factorisation for narrowband single channel source decomposition
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