Publications

Submitted papers

• Guillot P., Godichon-Baggioni, A., Robin, S., Sansonnet, L. (2026). Online robust covariance matrix estimation and outlier detection. arXiv:2601.03957.

• Bonnet, A., Robin, S. (2025). A Markov switching discrete-time Hawkes process: application to the monitoring of bats behavior. arXiv:2507.20153.

• Metodiev, M., Perrot-Dockès, M., Ouadah, S., Fosdick, B. K., Robin, S., Latouche, P., Raftery, A. E. (2024). A Structured Estimator for large Covariance Matrices in the Presence of Pairwise and Spatial Covariates. arXiv:2411.04520.

• Dion-Blanc, C., Hawat, D., Lebarbier, E., & Robin, S. (2024). Multiple change-point detection for Poisson processes. arXiv:2302.09103.

Published articles

Recent papers:

• Godichon-Baggioni, A., Robin, S., Sansonnet, L. (2026). Online and Offline Robust Multivariate Linear Regression. To appear in Computational Statistics and Data Analysis. arXiv:2404.19496.

• Stoehr, J., Robin, S. (2026). Composite likelihood inference for the Poisson log-normal model. To appear in Statistics and Computing. arXiv:2402.14390.

• Le Minh, T., Donnet, S., Massol, F., & Robin, S. (2025). Hoeffding-type decomposition for U-statistics on bipartite networks. Electronic Journal of Statistics, (9) 2829–2875. arXiv:2308.14518.

• Godichon-Baggioni, A., & Robin, S. (2024). A robust model-based clustering based on the geometric median and the Median Covariation Matrix. Statistics and Computing 34-55. arXiv:2211.08131.

• Cairo, M., Monnet, A. C., Robin, S., Porcher, E., & Fontaine, C. (2024). Identifying pesticide mixtures at country-wide scale. HAL-03815557, Peer Community Journal.

• Ouadah, S., Latouche, P., & Robin, S. (2022). Motif-based tests for bipartite networks. Electronic Journal of Statistics, 16(1), 293-330. arXiv:2101.11381.

• Morlon, H., Robin, S., & Hartig, F. (2022). Studying speciation and extinction dynamics from phylogenies: addressing identifiability issues. Trends in Ecology & Evolution. bioRxiv:2020.07.03.185074.

• Momal, R., Robin, S., & Ambroise, C. (2021). Accounting for missing actors in interaction network inference from abundance data. Journal of the Royal Statistical Society Series C: Applied Statistics, 70(5), 1230-1258. arXiv:2007.14299.

• Donnet, S., & Robin, S. (2021). Accelerating Bayesian estimation for network Poisson models using frequentist variational estimates. Journal of the Royal Statistical Society Series C: Applied Statistics, 70(4), 858-885. arXiv:1707.07971 (unpublished complete version). arXiv:1907.09771.

• Chiquet, J., Mariadassou, M., & Robin, S. (2021). The Poisson-lognormal model as a versatile framework for the joint analysis of species abundances. Frontiers in Ecology and Evolution, 9, 588292. bioRxiv:2020.10.07.329383.

• Facon, B., Hafsi, A., Charlery De La Masselière, M., Robin, S., Massol, F., Dubart, M., … & Ravigné, V. (2021). Joint species distributions reveal the combined effects of host plants, abiotic factors and species competition as drivers of species abundances in fruit flies. Ecology Letters, 24(9), 1905-1916. bioRxiv:2020.12.07.414326.

Full list:

A comprehensive list of my publications is available on Google Scholar

ORCID: 0000-0003-1045-069X