Nina Golyandina

According to our database, Nina Golyandina authored at least 19 papers between 1999 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Intelligent Identification of Trend Components in Singular Spectrum Analysis.

Nina Golyandina, Pavel Dudnik, Alexander Shlemov

Algorithms, July, 2023

2022

Fast and stable modification of the Gauss-Newton method for low-rank signal estimation.

Nikita Zvonarev, Nina Golyandina

Numer. Linear Algebra Appl., 2022

Mixed Alternating Projections with Application to Hankel Low-Rank Approximation.

Nikita Zvonarev, Nina Golyandina

Algorithms, 2022

2021

Low-rank signal subspace: parameterization, projection and signal estimation.

Nikita Zvonarev, Nina Golyandina

CoRR, 2021

2019

Noise model estimation with application to gene expression.

Polina Zhornikova, Nina Golyandina, Alexander V. Spirov

J. Bioinform. Comput. Biol., 2019

Blind deconvolution of covariance matrix inverses for autoregressive processes.

Nina Golyandina, Anatoly Zhigljavsky

CoRR, 2019

EOP Time Series Prediction Using Singular Spectrum Analysis.

Grigory Okhotnikov, Nina Golyandina

Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2019), 2019

2018

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

2014

Basic Singular Spectrum Analysis and forecasting with R.

Nina Golyandina, Anton I. Korobeynikov

Comput. Stat. Data Anal., 2014

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

Proceedings of the International Conference on Computational Science, 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: 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

Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2012

2011

Gene Expression Noise in Spatial Patterning: <i>hunchback</i> Promoter Structure Affects Noise Amplitude and Distribution in <i>Drosophila</i> 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

2008

Singular Spectrum Analysis of Gene Expression Profiles of Early <i>Drosophila embryo</i>: Exponential-in-Distance Patterns.

Theodore Alexandrov, Nina Golyandina, Alexander V. Spirov

J. Electr. Comput. Eng., 2008

2004

Convergence rate for spherical processes with shifted centres.

Nina Golyandina

Monte Carlo Methods Appl., 2004

Monte Carlo solution for the Poisson equation on the base of spherical processes with shifted centres.

Nina Golyandina

Proceedings of the Algorithms and Complexity for Continuous Problems, 26. September, 2004

2003

Central Limit Theorem for (n, k)-particle processes solving balance equations.

Nina Golyandina

Monte Carlo Methods Appl., 2003

2001

Analysis of Time Series Structure - SSA and Related Techniques.

Nina Golyandina, Vladimir Nekrutkin, Anatoly A. Zhigljavsky

Monographs on statistics and applied probability 90, Chapman & Hall, ISBN: 978-1-58488-194-0, 2001

1999

Homogeneous Balance Equation for Measures: Errors of the Stochastic Solution.

Nina Golyandina, Vladimir Nekrutkin

Monte Carlo Methods Appl., 1999