Marina Gomtsyan
Postdoctoral researcher in statistics, working on the analysis of spatial inequalities in intergenerational social mobility in France,
with Aurélie Fischer and Cyril Jayet. My postdoc is part of MOSIS—a project founded by French National Research Agency.
I completed my PhD in MIA Paris-Saclay (AgroParisTech, University of Paris-Saclay) under the supervision of Céline Lévy-Leduc,
Sarah Ouadah and Laure Sansonnet. I worked on variable selection methods in sparse GLARMA models.
Email: mgomtsian@lpsm.paris
For more information: CV
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, R. Perrier, A. Fischer, F. Gargiulo, M. Lenormand. Moving worlds apart: Exploring social and spatial mobility through spatial networks. Submitted (2026)
- C. Jayet, M. Gomtsyan, A. Fischer, F. Gargiulo, M. Lenormand. The geography of social class mobility in France : A multidimensional approach. Submitted (2025)
- M. Gomtsyan, C. Lévy-Leduc, S. Ouadah, L. Sansonnet, C. Bailly, L. Rajjou. Variable selection in sparse multivariate GLARMA models: Application to germination control by environment. Statistical Methods & Applications (34), 291–324 (2025)
- M. Gomtsyan, C. Lévy-Leduc, S. Ouadah, L. Sansonnet. Sign-consistent estimation in a sparse Poisson model. Statistics & Probability Letters 209, 110107 (2024)
- M. Gomtsyan (2024). Variable selection in a specific regression time series of counts. arXiv:2307.00929
- M. Gomtsyan, C. Lévy-Leduc, S. Ouadah, L. Sansonnet, T. Blein. Variable selection in sparse GLARMA models. Statistics 56(4), 755–784 (2022)
- M. Gomtsyan, N. Mokrov, M. Panov, Y. Yanovich. Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension. Proceedings of The Eleventh Asian Conference on Machine Learning, PMLR 101:1126-1141 (2019)
R Packages
- M. Gomtsyan (2023). NBtsVarSel: Variable Selection in a Specific Regression Time Series of Counts
- M. Gomtsyan (2022). MultiGlarmaVarSel: Variable selection in sparse multivariate GLARMA models
- M. Gomtsyan, C. Lévy-Leduc, S. Ouadah, L. Sansonnet (2021). GlarmaVarSel: Variable selection in sparse GLARMA models