Conférences

2021

• Causeur, D. (2021) Sparse inverse time correlation model for signal identification in functional Near Infrared Spectroscopy data. June 2021. Invited talk at Journées de Statistique, Nice.
• Causeur, D. (2021) Sparse inverse time correlation model for signal identification in functional Near Infrared Spectroscopy data. April 2021. Channel Network Conference, 2021, Online conference. Slides
• Emily, M. (2021) Analyzing (complex) systems with Structural Equation Modelling, Invited talk. March 2021. NetBio.
• Etienne, MP (2021) Identifying stationnary phases in animal movement during the invited session on Movement ecology.April 2021. Channel Network Conference, 2021, Online conference.
• Etienne, MP (2021) Identifying stationnary phases in animal movement during the invited session on Movement ecology. Séminaire Laboratoire Jean Kuntzmann, April 2021

2020

• Causeur, D. (2020) Adaptive handling of dependence in high-dimensional regression modeling. November 2020. Invited talk at the Dutch Biometric Conference.Emily. M. (2020) Aggregation of dependent statistics in genome-wide association studies, Invited talk. February 2020. Grenoble.
• Etienne, MP (2020)  The Langevin model: a continuous time movement model to understand habitat selection June 2020. Virtual International Statistical Ecology Conference

2019

• Causeur, D. (2019) Functional Analysis of Variance in the Comparison of Curves. November 2019. Invited talk at School of Occupational Therapy, National Taiwan University, Taipei
• Emily, M. (2019) Exemples et perspectives de recherche en IA pour l’agriculture, Conférence invitée. Juin 2019. Matinale du Pool «IA et agriculture».
• Emily, M. (2019) Aggregation of dependent statistics in genome-wide association studies, Invited talk. June 2019, Paris.
• Emily, M. (2019) Aggregation of dependent statistics in genome-wide association studies, Invited talk. April 2019, Journées de la statistique à Rennes (JSTAR), Rennes.
• Etienne, MP (2019) Detecting alterations in genomic profiles : Rate of convergence to an Ornstein Uhlenbeck process. Séminaire AgroparisTech Mars 2019
• Etienne, MP (2019)  Stochastic Differential Equations for movement ecology, Séminaire INRA Démécology  Mai 2019.
• Hébert, F., Emily, M. and Causeur, D. (2019) Prise en compte de la dépendance en classification supervisée. 51èmes Journées De Statistique . Nancy, France, 2019.
• Mira, S., Emily, M., Mougel, C. and Le Cadre. E. (2019) Crop diversification positively alters the intensity of soil-plant interactions in intensive agrosystems, Rhizosphere 5, Saskatoon, Canada, July 2019
• de Tinguy, X., Pacchierotti, C. M. Emily, Chevalier, M., Guignardat, A. Guillaudeux, M., Six, C. Lécuyer, A. and Marchal, M. (2019) How different tangible and virtual objects can be while still feeling the same?, WHC 2019 - IEEE World Haptics Conference, Jul 2019, Tokyo, Japan. pp.1-6.

2018

• Causeur, D. (2018) Ignoring dependence in large-dimensional testing issues: what consequences? July 2018. Channel Network Conference, Rothamsted Research Center, UK.Causeur, D. (2018) Handling dependence or not in statistical learning for high-dimensional data. December 2018, Invited Seminar, Department of Statistics, La Sapienza University, Roma, Italy.
• Causeur, D. (2018) Analysis of Variance for functional data using the R package ERP. July 2018. Rencontres R, Rennes. 
• Emily, M. (2018) Epistasis in case-control (GW)AS : a signal detection approach, Invited talk. December 2018, Toulouse.
• Hébert, F., Emily, M. and Causeur, D. (2018) Combinaison de tests dépendants en études d'association pangénomiques, Journées des jeunes chercheurs en biométrie, Paris, 2018
• Hébert, F., Emily, M. and Causeur, D. (2018) Prise en compte de la dépendance en études d'association pangénomiques. 50èmes Journées De Statistique. Saclay, France, 2018.
• Houée-Bigot, M. and Emily, M. (2018) Application d’approches de deep learning aux données de génomique, Workshop Deep Learning et Génomique, Versailles, 2018.
• Husson, F. (2018). From the package FactoMineR to a project on Exploratory Multivariate Data Analysis or how to improve the visibility of its package? November 2018. Murica (Spain) (pdf)
• Husson, F. (2018). Imputation multiple par des méthodes d'analyse factorielle. Muséum National d'Histoire Naturelle, Paris. (pdf)
• Etienne, MP (2018)  Stochastic Differential Equation to Model Movement Data in Ecology. July 2018. Joint Statistical Meetings - American Statistical Association
• Mira, S., Mougel, C., Emily, M. and Le Cadre, E. (2018) Crop diversification positively alter the intensity of soil-plant interactions in intensive agrosystems giving clues for agroecological transition, SFEcologie, Rennes, Octobre 2018