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Introduction to this special issue
Shouyang Wang, Heping Zhang, and Anatoly Zhigljavsky
pp. 1-3
Iterative algorithms for weighted and unweighted finite-rank time-series approximations
Nikita Zvonarev and Nina Golyandina
pp. 5-18
Simple nuclear norm based algorithms for imputing missing data and forecasting in time series
Holly Butcher and Jonathan Gillard
pp. 19-25
Asymptotic extraction of common signal subspaces from perturbed signals
Vladimir Nekrutkin and Irina Vasilinetc
pp. 27-32
On perturbation stability of SSA and MSSA forecasts and the supportiveness of time series
Maria Vronskaya-Robl and Karl Michael Schmidt
pp. 33-46
Semi-nonparametric singular spectrum analysis with projection
Nina Golyandina and Alex Shlemov
pp. 47-57
Lipschitz optimization methods for fitting a sum of damped sinusoids to a series of observations
J. W. Gillard and D. E. Kvasov
pp. 59-70
Semiparametric analysis for environmental time series
Lin Tang and Qin Shao
pp. 71-79
Testing trend stationarity of functional time series with application to yield and daily price curves
Piotr Kokoszka and Gabriel Young
pp. 81-92
Real-time financial surveillance via quickest change-point detection methods
Andrey Pepelyshev and Aleksey S. Polunchenko
pp. 93-106
Detecting hidden periodicities for models with cyclical errors
María Pilar Frías, Alexander V. Ivanov, Nikolai Leonenko, Francisco Martínez, and María Dolores Ruiz-Medina
pp. 107-118
A hybrid transfer learning model for crude oil price forecasting
Jin Xiao, Yi Hu, Yi Xiao, Lixiang Xu, and Shouyang Wang
pp. 119-130
Modelling extreme flood heights in the lower Limpopo River basin of Mozambique using a time-heterogeneous generalised Pareto distribution
Daniel Maposa, James J. Cochran, and ‘Maseka Lesaoana
pp. 131-144
Assessment of SSA predictions of Earth temperature records
Vladimir Kornikov
pp. 145-150
SSA analysis and forecasting of records for Earth temperature and ice extents
Andrey Pepelyshev and Anatoly Zhigljavsky
pp. 151-163