====== Marina Gomtsyan ======


Postdoctoral researcher in statistics, working on the analysis of spatial inequalities in intergenerational social mobility in France, with [[https://www.lpsm.paris/users/fischer/index|Aurélie Fischer]] and [[https://www.gemass.fr/member/jayet-cyril/|Cyril Jayet]]. 

I completed my PhD in MIA Paris-Saclay (AgroParisTech, University of Paris-Saclay) under the supervision of [[https://sites.google.com/view/pagewebdecelinelevyleduc/|Céline Lévy-Leduc]], [[https://www.lpsm.paris/users/ouadah/index|Sarah Ouadah]] and [[https://mia-ps.inrae.fr/laure-sansonnet|Laure Sansonnet]]. I worked on variable selection methods in sparse GLARMA models.

=== Research interests ===
  * Variable selection, sparsity, regularised methods
  * Time series, count data, dependencies
  * Contingency tables, categorical data
  * Applications in genomics and social sciences

=== Publications and preprints ===

  * C. Jayet, M. Gomtsyan, A. Fischer, F. Gargiulo, M. Lenormand (2025). {{ :users:mgomtsian:geography_mobility.pdf |The geography of social class mobility in France : a multidimensional approach}}. //Submitted//
  * M. Gomtsyan, C. Lévy-Leduc, S. Ouadah, L. Sansonnet, C. Bailly, L. Rajjou (2025). [[https://link.springer.com/article/10.1007/s10260-025-00786-0?utm_source=rct_congratemailt&utm_medium=email&utm_campaign=nonoa_20250429&utm_content=10.1007/s10260-025-00786-0|Variable selection in sparse multivariate GLARMA models: application to germination control by environment]]. //To appear in Statistical Methods & Applications//
  * M. Gomtsyan, C. Lévy-Leduc, S. Ouadah, L. Sansonnet (2024). [[https://www.sciencedirect.com/science/article/pii/S0167715224000762|Sign-consistent estimation in a sparse Poisson model]]. //Statistics & Probability Letters 209, 110107//
  * M. Gomtsyan (2024). [[https://arxiv.org/abs/2307.00929|Variable selection in a specific regression time series of counts]]. //arXiv:2307.00929//
  * M. Gomtsyan, C. Lévy-Leduc, S. Ouadah, L. Sansonnet, T. Blein (2022). [[https://www.tandfonline.com/doi/full/10.1080/02331888.2022.2090943|Variable selection in sparse GLARMA models]]. //Statistics 56(4), 755–784//
  * M. Gomtsyan, N. Mokrov, M. Panov, Y. Yanovich (2019). [[https://proceedings.mlr.press/v101/gomtsyan19a.html|Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension]]. //Proceedings of The Eleventh Asian Conference on Machine Learning, PMLR 101:1126-1141//


=== R Packages ===
  * M. Gomtsyan (2023). [[https://cran.r-project.org/web/packages/NBtsVarSel/index.html|NBtsVarSel: Variable Selection in a Specific Regression Time Series of Counts]]
  * M. Gomtsyan (2022). [[https://cran.r-project.org/web/packages/MultiGlarmaVarSel/index.html|MultiGlarmaVarSel: Variable selection in sparse multivariate GLARMA models]]
  * M. Gomtsyan, C. Lévy-Leduc, S. Ouadah, L. Sansonnet (2021). [[https://cran.r-project.org/web/packages/GlarmaVarSel/index.html|GlarmaVarSel: Variable selection in sparse GLARMA models]]


For more information: {{ :users:mgomtsian:cv_marina_gomtsyan.pdf |CV}}.