|Présentation| |Formation et parcours| |Communications| |Publications et activités scientifiques| |Enseignements| |Software|

Ph.D. Thesis

Rohmer, T., octobre 2014, Deux tests de détection de rupture dans la copule d’observations multivariées, Université de Pau & Université de Sherbrooke

Composition du jury:

Articles publiés

Brouste, Alexandre, Christophe Dutang, Lilit Hovsepyan, and Tom Rohmer. 2025. “Fast inference in copula models with categorical explanatory variables using the one-step procedure.” Computational Statistics 41 (1): 23. https://doi.org/10.1007/s00180-025-01692-5 https://hal.inrae.fr/hal-04995713v2.
Guilmois, Céline, Tom Rohmer, and Maria Poparoch. 2025. “Learning basic mathematic skills in primary school.” School Effectiveness and School Improvement 36 (4): 573–99. https://doi.org/10.1080/09243453.2025.2536485 https://hal.science/hal-05312528.
Le, Vincent, Tom Rohmer, and Ingrid David. 2024. “Identification and characterization of unknown disturbances in a structured population using high-throughput phenotyping data and measurement of robustness: application to growing pigs.” Journal of Animal Science, ahead of print, March. https://doi.org/10.1093/jas/skae059 https://hal.inrae.fr/hal-04491582.
Brouste, Alexandre, Christophe Dutang, Lilit Hovsepyan, and Tom Rohmer. 2023. “One-Step Closed-Form Estimator for Generalized Linear Model with Categorical Explanatory Variables.” Statistics and Computing 33 (6): 138. https://doi.org/10.1007/s11222-023-10313-4 https://hal.science/hal-04251559.
Brouste, Alexandre, Christophe Dutang, and Tom Rohmer. 2022. “A Closed-form Alternative Estimator for GLM with Categorical Explanatory Variables.” Communications in Statistics - Simulation and Computation, June, 1–17. https://doi.org/10.1080/03610918.2022.2076870 https://hal.archives-ouvertes.fr/hal-03689206.
Rohmer, Tom, Anne Ricard, and Ingrid David. 2022. “Copula miss-specification in REML multivariate genetic animal model estimation.” Genetics Selection Evolution 54 (1): 36. https://doi.org/10.1186/s12711-022-00729-3 https://hal.inrae.fr/hal-03681151.
Le, Vincent, Tom Rohmer, and Ingrid David. 2022. “Impact of environmental disturbances on estimated genetic parameters and breeding values for growth traits in pigs.” Animal 16 (4): 9 p. https://doi.org/10.1016/j.animal.2022.100496 https://hal.inrae.fr/hal-03653106.
Dowek, Antoine, Laetitia Minh Mai Lê, Tom Rohmer, et al. 2020. “A mathematical approach to deal with nanoparticle polydispersity in surface enhanced Raman spectroscopy to quantify antineoplastic agents.” Talanta 217 (September): 121040. https://doi.org/10.1016/j.talanta.2020.121040 https://hal.archives-ouvertes.fr/hal-02557279.
Brouste, Alexandre, Christophe Dutang, and Tom Rohmer. 2020. “Closed form Maximum Likelihood Estimator for Generalized Linear Models in the case of categorical explanatory variables: Application to insurance loss modelling.” Computational Statistics, ahead of print. https://doi.org/10.1007/s00180-019-00918-7 https://hal.archives-ouvertes.fr/hal-01781504.
Kojadinovic, Ivan, Jean-François Quessy, and Tom Rohmer. 2016. “Testing the Constancy of Spearman’s Rho in Multivariate Time Series.” Annals of the Institute of Statistical Mathematics 68: 929–54. https://doi.org/10.1007/s10463-015-0520-2 https://hal.science/hal-01581271.
Rohmer, Tom. 2016. “Some Results on Change-Point Detection in Cross-Sectional Dependence of Multivariate Data with Changes in Marginal Distributions.” Statistics & Probability Letters 119: 45–54. https://doi.org/10.1016/j.spl.2016.06.026 https://hal.inrae.fr/hal-03187746.
Bücher, Axel, Ivan Kojadinovic, Tom Rohmer, and Johan Segers. 2014. “Detecting Changes in Cross-Sectional Dependence in Multivariate Time Series.” Journal of Multivariate Analysis 132: 111–28. https://doi.org/10.1016/j.jmva.2014.07.012 https://univ-pau.hal.science/hal-02158618.

Packages R

Working papers

Students

Financements