Homogeneous Balance Equation for Measures: Errors of the Stochastic Solution. - Nina Golyandina; Vladimir Nekrutkin (Monte Carlo Methods Appl., 1999)

Analysis of Time Series Structure - SSA and Related Techniques. - Nina Golyandina; Vladimir Nekrutkin; Anatoly A. Zhigljavsky (Chapman & Hall, 2001)

Central Limit Theorem for (n, k)-particle processes solving balance equations. - Nina Golyandina (Monte Carlo Methods Appl., 2003)

Monte Carlo solution for the Poisson equation on the base of spherical processes with shifted centres. - Nina Golyandina (Algorithms and Complexity for Continuous Problems, 2004)

Convergence rate for spherical processes with shifted centres. - Nina Golyandina (Monte Carlo Methods Appl., 2004)

Singular Spectrum Analysis of Gene Expression Profiles of Early Drosophila embryo: Exponential-in-Distance Patterns. - Theodore Alexandrov; Nina Golyandina; Alexander V. Spirov (J. Electr. Comput. Eng., 2008)

Gene Expression Noise in Spatial Patterning: hunchback Promoter Structure Affects Noise Amplitude and Distribution in Drosophila Segmentation. - David M. Holloway; Francisco J. P. Lopes; Luciano da Fontoura Costa; Bruno Augusto Nassif Travençolo; Nina Golyandina; Konstantin Usevich; Alexander V. Spirov (PLoS Comput. Biol., 2011)

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. - Alexander V. Spirov; Nina Golyandina; David M. Holloway; Theodore Alexandrov; Ekaterina N. Spirova; Francisco J. P. Lopes (EvoBIO, 2012)

New approaches to nonparametric density estimation and selection of smoothing parameters. - Nina Golyandina; Andrey Pepelyshev; Ansgar Steland (Comput. Stat. Data Anal., 2012)

Measuring Gene Expression Noise in Early Drosophila Embryos: Nucleus-to-nucleus Variability. - Nina Golyandina; David M. Holloway; Francisco J. P. Lopes; Alexander V. Spirov; Ekaterina N. Spirova; Konstantin Usevich (ICCS, 2012)

Basic Singular Spectrum Analysis and forecasting with R. - Nina Golyandina; Anton I. Korobeynikov (Comput. Stat. Data Anal., 2014)

Two-Exponential Models of Gene Expression Patterns for Noisy Experimental Data. - Theodore Alexandrov; Nina Golyandina; David M. Holloway; Alexander Shlemov; Alexander V. Spirov (J. Comput. Biol., 2018)

EOP Time Series Prediction Using Singular Spectrum Analysis. - Grigory Okhotnikov; Nina Golyandina (MACLEAN@PKDD/ECML, 2019)

Blind deconvolution of covariance matrix inverses for autoregressive processes. - Nina Golyandina; Anatoly Zhigljavsky (CoRR, 2019)

Noise model estimation with application to gene expression. - Polina Zhornikova; Nina Golyandina; Alexander V. Spirov (J. Bioinform. Comput. Biol., 2019)

Low-rank signal subspace: parameterization, projection and signal estimation. - Nikita Zvonarev; Nina Golyandina (CoRR, 2021)

Mixed Alternating Projections with Application to Hankel Low-Rank Approximation. - Nikita Zvonarev; Nina Golyandina (Algorithms, 2022)

Fast and stable modification of the Gauss-Newton method for low-rank signal estimation. - Nikita Zvonarev; Nina Golyandina (Numer. Linear Algebra Appl., 2022)

Intelligent Identification of Trend Components in Singular Spectrum Analysis. - Nina Golyandina; Pavel Dudnik; Alexander Shlemov (Algorithms, 2023)

Information Criteria for Signal Extraction Using Singular Spectrum Analysis: White and Red Noise. - Nina Golyandina; Nikita Zvonarev (Algorithms, 2024)