AgroParisTech INRA
Joint Research Unit 518 : AgroParisTech&INRA
Applied Maths and Computer Sciences
Genometrics team MOdels, Risk, Stat., Environment

Ingénieur en chef du Génie Rural Eaux et Forêts
AgroParisTech/ENGREF
UMR AgroParisTech/INRA 518
19 avenue du Maine
75 732 Paris Cedex 15
Tel : +33 (0)1 45498928
RESEARCH

My broader interests include "Bayesian Statistics at work”, especially in case studies from various fields while working with my PhD students,under contract with industrial companies or public institutions.

main field: Bayesian theory and applications, with special emphasis in environmental systems modelling.

other fields: Systems analysis and risk management in environmental resources. Decision making within a stochastic framework.

current research interests: Bayesian design optimization via particle methods. Hierarchical and dynamic modelling in biometry and ecotoxicology. Peak over Threshold modelling for risk analysis of extreme events. Dynamic models and Bayesian detection of change point in hydro and environmental series. Hierarchical Bayesian Models for spatial data.

TEACHING at AgroParisTech

PhD. level, (24 hrs) Hierarchical Bayesian Modelling.
Msc. level, (48 hrs) Markov Chains for model elaboration and statistical inference : a mathematical approach to risk analysis. (48 hrs)
Msc. level, (8 hrs).  Introduction to Geostatistics for precision agronomical engineering .

Poly en cours
Publications
Parent E., Amzal B., Girard, P. Investigations particulaires pour l'inférence statistique et l'optimisation de plan d'expériences. Journal de la Sfds 149 (1), 2008.
Rivot E., Prevost E., Cuzol A., Bagliniere J.-L., Parent E. Hierarchical Bayesian modelling with habitat and time covariates for estimating riverine fish population size by successive removal method. Can. J. Fish. Aquat. Sci. 65: 117-133, 2008.
Eckert N, Parent E., Naim M., Richard D. Bayesian stochastic modelling for avalanche predetermination: from a general system framework to return period computations. DOI 10.1007/s00477-007-0107-4. Stoch. Environ. Res Ris. Assess. 22(2): 185-206, 2008.
Bar-hen A., Parent E. Biodiversité et approches spatiales en environnement : introduction. Journal de la Sfds et Revue de Statistique Appliquée (1), 5-8., 2007.
Eckert N, Parent E., Richard D. Revisiting statistical-topographical methods for avalanche predetermination: Bayesian modelling for runout distance predictive distribution. Cold Reg. Sci. Technol .49(1):88-107, 2007.
Parent E., Bernier J., Boreux J J. Le rôle pivot des variables latentes pour le raisonnement statistique conditionnel. Exemples d'applications environnementales des processus ponctuels marqués. Revue de Statistique Appliquée LIV(4), 85-112, 2006.
Eckert N, Parent E., Belanger L et al. Hierarchical modelling for spatial analysis of avalanche frequency at the scale of the township. Cold Reg. Sci. Technol., 2006.
Eckert N, Parent E. Monte Carlo calibration of a dynamic model for avalanche predetermination using the Metropolis-Hastings algorithm. In: Proceedings of the 3rd international conference on avalanches and related subjects, Kirovsk, Russia, 2006.
Amzal, B., Bois F., Parent E., and C. Robert Bayesian optimal design via interacting MCMC. Journal of American Statistical Association , Volume 101, Number 474, pp. 773-785(13), June 2006.
Eckert N., Parent E., Richard D. Une méthode statistique-topographique de prédétermination des distances d'arrêt des avalanches. La Houille Blanche, (2) , 120-127, 2006.
Parent E., Wallet F. Santé environnementale : quelle place pour les statisticiens?. Journal de la Société française de Statistique , tome 145(3), 3-13, 2004.
Parent E. Critique de Mal de terre , ouvrage paru d'Hubert Reeves. Pour la science, numéro de mars 2004.
AbiZeid I., Bobée B., Parent E. The stochastic modeling of low flows by the alternating point processes approach: methodology and application. Journal of Hydrology.L Vol 285/1-4 pp 41-61, 2004.
Pasanisi A., Parent E. Modélisation bayésienne du vieillissement des compteurs d'eau par mélange de classes d'appareils de différents de dégradation. Revue de Statistique Appliquée LII(1), 39-65, 2004.
Girard P, Parent E. The deductive phase of statistical analysis via predictive simulations: test, validation and control of a linear model with autocorrelated errors representing a food process. Journal of Statistical Planning and Inference. Vol 124 Issue 1 , Pages 99-120, 2004.
Rivot E., Prévost E., Parent E., Baglinière J.L. A bayesian state-space modelling framework for fitting a salmon stage-structured population dynamic model to multiple time series of field data. Ecological Modelling. Vol 179 (4) pp 463-485, 2004.
Parent E., Bernier J. Une procédure bayésienne de sélection/validation différentielle pour déterminer le domaine d'attraction des valeurs extrêmes. Revue de Statistique Appliquée, LII(4), 5-31, 2004.




19 avenue du Maine - 75732 Paris Cedex 15 - tel 01 45 49 89 30 - fax 01 45 49 88 27