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  1. 2021

  2. Quantification reveals early dynamics in Drosophila maternal gradients

    Shlemov, A., Alexandrov, T., Golyandina, N., Holloway, D., Baumgartner, S. & Spirov, A. V., 19 Aug 2021, In: PLoS ONE. 16, 8, 31 p., e0244701.

    Research output: Contribution to journal › Article › peer-review

  3. MULTIPLE TESTING IN MONTE CARLO SSA

    Golyandina, N. E., 2021, p. 503-504. 2 p.

    Research output: Contribution to conference › Paper

  4. АНАЛИЗ СИНГУЛЯРНОГО СПЕКТРА С ТОЧКИ ЗРЕНИЯ (НЕ)ЛИНЕЙНОСТИ МЕТОДА

    Голяндина, Н. Э., 2021, p. 160-161. 2 p.

    Research output: Contribution to conference › Paper

  5. 2020

  6. Singular Spectrum Analysis for Time Series

    Голяндина, Н. Э. & Zhigljavsky, A., Nov 2020, 2 ed. Berlin Heidelberg: Springer Nature. 146 p. (SpringerBriefs in Statistics)

    Research output: Book/Report/Anthology › Book › peer-review

  7. Particularities and commonalities of singular spectrum analysis as a method of time series analysis and signal processing

    Golyandina, N., 1 Jul 2020, In: Wiley Interdisciplinary Reviews: Computational Statistics. 12, 4, 39 p., e1487.

    Research output: Contribution to journal › Review article › peer-review

  8. Blind deconvolution of covariance matrix inverses for autoregressive processes

    Golyandina, N. & Zhigljavsky, A., 15 May 2020, In: Linear Algebra and Its Applications. 593, p. 188-211 24 p.

    Research output: Contribution to journal › Article › peer-review

  9. 2019

  10. Noise model estimation with application to gene expression

    Zhornikova, P., Golyandina, N. & Spirov, A., 1 Apr 2019, In: Journal of Bioinformatics and Computational Biology. 17, 2, 20 p., 1950009.

    Research output: Contribution to journal › Article › peer-review

  11. EOP time series prediction using singular spectrum analysis

    Okhotnikov, G. & Golyandina, N., 2019, Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop. Corpetti, T., Ienco, D., Interdonato, R. & et al. (eds.). RWTH Aahen University, 10 p. (CEUR Workshop Proceedings; vol. 2466).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  12. 2018

  13. Two-Exponential Models of Gene Expression Patterns for Noisy Experimental Data

    Alexandrov, T., Golyandina, N., Holloway, D., Shlemov, A. & Spirov, A., 1 Nov 2018, In: Journal of Computational Biology. 25, 11, p. 1220–1230 11 p.

    Research output: Contribution to journal › Article › peer-review

  14. Modified Gauss-Newton method in low-rank signal estimation

    Zvonarev, N. & Golyandina, N., 4 Mar 2018.

    Research output: Working paper › Preprint

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