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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
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RESEARCH |
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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.
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TEACHING at AgroParisTech |
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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 |
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Publications |
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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.
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