Articles | Volume 22, issue 4
Research article
10 Jul 2015
Research article |  | 10 Jul 2015

Improved singular spectrum analysis for time series with missing data

Y. Shen, F. Peng, and B. Li

Related subject area

Subject: Time series, machine learning, networks, stochastic processes, extreme events | Topic: Solid earth, continental surface, biogeochemistry
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Cited articles

Broomhead, D. S. and King, G. P.: Extracting qualitative dynamics from experimental data, Physica D, 20, 217–236, 1986.
Buchanan, P. A. and Ruhl, C. A.: Summary of suspended-solids concentration data, San Francisco Bay, California, water year 1998, Open File Report 99-189, US Geological Survey, San Francisco, 41 pp., 2000.
Buchanan, P. A. and Schoellhamer, D. H.: Summary of suspended solids concentration data, San Francisco Bay, California, water year 1997, Open File Report 00-88, US Geological Survey, San Francisco, 52 pp., 1999.
Golyandina, N. and Osipov, E.: The "Catterpillar"-SSA method for analysis of time series with missing data, J. Stat. Plan. Inf., 137, 2642–2653, 2007.
Hassani, H. and Mahmoudvand, R.: Multivariate singular spectrum analysis: a general view and new vector forecasting approach, Int. J. Energy Stat., 1, 55–83, 2013.