1. 2015
  2. Variations of singular spectrum analysis for separability improvement: non-orthogonal decompositions of time series

    Golyandina, N. & Shlemov, A., 2015, In: Statistics and its Interface. 8, 3, p. 277-294

    Research output: Contribution to journalArticle

  3. Итеративные алгоритмы аппроксимации рядами конечного ранга

    Звонарев, Н. & Голяндина, Н., 2015, Труды X международной конференции "Идентификация систем и задачи управления" Москва 26-28 января 2015. p. 1371-1394

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  4. 2014
  5. Basic Singular Spectrum Analysis and forecasting with R

    Golyandina, N. & Korobeynikov, A., 2014, In: Computational Statistics and Data Analysis. 71, p. 934-954

    Research output: Contribution to journalArticle

  6. Shaped extensions of singular spectrum analysis

    Shlemov, A. & Golyandina, N., 2014, 21st International Symposium on Mathematical Theory of Networks and Systems, July 7-11, 2014. Groningen, The Netherlands. p. 1813-1820

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  7. 2013
  8. Singular Spectrum Analysis for time series

    Golyandina, N. & Zhigljavsky, A., 2013, Springer Nature.

    Research output: Book/Report/AnthologyBook

  9. 2012
  10. Measuring Gene Expression Noise in Early Drosophila Embryos: Nucleus-to-nucleus Variability

    Golyandina, N. E., Holloway, D. M., Lopesc, F. J. P., Spirov, A. V., Spirova, E. N. & Usevich, K. D., 2012, In: Procedia Computer Science. 9, p. 373–382

    Research output: Contribution to journalArticlepeer-review

  11. Measuring Gene Expression Noise in Early Drosophila Embryos: The Highly Dynamic Compartmentalized Micro-environment of the Blastoderm Is One of the Main Sources of Noise

    Spirov, A. V., Golyandina, N. E., Holloway, D. M., Alexandrov, T., Spirova, E. N. & Lopes, F. J. P., 2012, In: Lecture Notes in Computer Science. 7246, p. 177-188

    Research output: Contribution to journalArticle

  12. New approaches to nonparametric density estimation and selection of smoothing parameters

    Golyandina, N., Pepelyshev, A. & Steland, A., 2012, In: Computational Statistics and Data Analysis. 56, 7, p. 2206–2218

    Research output: Contribution to journalArticle

  13. Повышение точности SSA-прогноза зашумленного сигнала за счет увеличения порядка линейной рекуррентной формулы

    Голяндина, Н. Э. & Шлемов, А. Ю., 2012, Труды IX Международной конференции "Идентификация систем и задачи управления" Москва 30 января - 2 февраля 2012. Институт проблем управления им. В.А. Трапезникова РАН, p. 1035-1048

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  14. 2011
  15. Gene Expression Noise in Spatial Patterning: hunchback Promoter Structure Affects Noise Amplitude and Distribution in Drosophila Segmentation

    Holloway, D. M., Lopes, F. J. P., Costa, L. D. F., Travençolo, B. A. N., Golyandina, N., Usevich, K. & Spirov, A. V., 2011, In: PLoS Computational Biology. 7, 2, p. e1001069 (1-18)

    Research output: Contribution to journalArticlepeer-review

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