| Morse |
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Assistant Professor - AgroParisTech/ENGREF UMR AgroParisTech/INRA 518 Département MMIP AgroParisTech 16 rue Claude Bernard 75 231 Paris Cedex 05 Tel : +33 (0)1 44 08 16 72 |
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Hierarchical modelling is a powerful framework which allows wide flexibility in model conception. The studies related to environmental issues mostly occur in some uncontrolled design. By the way classical statistical models are not pertinent to study the obtained data (spatial dependance, multi scales, zero inflated, large p small n ....). Furthermore, the ecological processes of interest are mostly hidden and data are just a truncated observation of those processes (thuna declared captures as an indicator the thuna biomass, number of prey in stomach as a measure of thuna feeding) Hierarchical modelling is a useful framework to proppose adequat models to link observations and latent processes of interest. I'm working in collaboration with biologists and ecologists in order to develop and analyse statistical models which a stong interest in highlighting the links between biological and mathematical assumptions. |
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Coordinator of regular courses in Introduction to Statistics and Advanced Statistics for Ecological Science (Master degree in Ecological science EBE AgroParisTech) Coordinator of Hierarchical and Bayesian Modelling in forest science using OpenBugs for Amazonian doctoral formation program (AgroParisTech-Kourou). Poly en cours Regular courses on Statistical Modelling for risk assesment and management. (AgroParisTech-ENGREF) Regular courses on Simulation and Prediction using random modelling (AgroParisTech-ENGREF) Regilar courses on Random Model in ecologie and environment (EBE AgroParisTech) Fall 2007 : Hierarchical and Bayesian Modelling in marine science using OpenBugs for professionnal formation for Halieutic Ressource Center CRH |
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Gion J-M, Mortier F, Mandrou E, Hein Gherardi P.R, Costecalde T, Chaix G, Etienne M-P. , Sivadon P., Grima-Pettenati J., Villar E., Saya A., Pollet B., Lapierre C., Vigneron P.
Un modèle de variabilité fonctionnelle chez les arbres forestiers : le gène CCR d'eucalyptus
Actes du 7ème colloque national "Ressources génétiques" A paraître Octobre 2008. Ancelet S. , Etienne M.P., H.P. Benoit, Parent E. Modelling spatial zero-inflated continuous data with an exponentially compound Poisson process Environmental and Ecological Statistics submitted february 2007. Robelin, D., Etienne M.P. Discriminer les inversions de courts segments dans une séquence biolgique. Actes de In XI Rencontres de la Société Francophone de Classification p.291-295. 2004 Etienne M.P. Une approche statistique pour la détection de gènes impliqués dans les maladies multifactorielles. Actes de Jobim juin 2004. Etienne M.P., Vallois P. Approximation of the distribution of the supremum of a centred random walk. Application to the local score Methodol. Comput. Appl. Probab. 6, No.3, 255-275 (2004). Daudin J.J. ,Etienne M.P. , P. Vallois. Asymptotic behavior of the local score of independent and identically distributed random sequences, Stochastic Processes and their Applications Volume 107, Issue 1, September 2003. Etienne M.P. Le score local : un outil pour l'analyse de séquences biologiques, thèse de l'Université Henri Poincaré, Nancy I. décembre 2002. |
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| Oral Communications at scientific conference with review committee | ||||
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September 2004 : Detection of susceptibility genes in multifactorial diseases : comparison between local score approach and bayesian approach. Journées MAS - Nancy, France June 2004 : Detection of susceptibility genes in multifactorial diseases- JOBIM Montréal, Canada. November 2000 : Local score for long sequences analysis. Traitement et Analyse de Séquences Conference at Evry- France September 2000 : Asymptotic behavior of the local score. Journées MAS - Rennes, France |
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June 2008 : Estimation using EM of random effect compound poison process for zero inflated data. GTMap5 University Paris 5. May 2007 : Estimation using EM algorithm for a non linear non gaussian random effect model for continuous zero inflated data. Parisian Statistical Seminar. May 2004 : How to detect suceptibility genes in multifactorial diseases : a score local approach. GTBioStat in Toulouse. France November 2003 : Susceptibility genes in multifactorial diseases. Parisian Statistical Seminar October 2002 : The local score : a tool for analysis of biological sequences. University of Versailles Saint Quentin. France |
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July 2008 : Hierarchical Compound Poisson Process for Zero Inflated Data : Bayesian and frequentist estimation rely on the same tools. ISBA Hamilton Island Australia. here July 2008 : Bayesian Selection of allelic forms driving the lignin variation for eucalyptus trees. ISBA Hamilton Island Australia. here June 2002 : Comparisons of three approximations for the local score when the mean is next to zero. JOBIM Saint Malo, France May 2000 : Asymptotic behaviour of the local score of independant and identically distributed random sequences. Jobim Monptellier France. |
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