Samuel SOUBEYRAND
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Email: Samuel.Soubeyrand@avignon.inra.fr Phone: +33 4.32.72.21.85 Address: INRA - Biostatistique et Processus Spatiaux
Methods (model construction and statistical inference) allowing the investigation of questions mainly addressed in botanical epidemiology and ecology.
Topics of interest (corresponding publications indicated by numbers between brackets):
Spatio-temporal models describing pathogen and pest dynamics. Case-studies: rusts of wheat, powdery mildew of Plantago Lanceolata, European pine sawfly [5,10,11,r3,14,r5].
Mechanistic-statistical modelling which consists in combining a model for the dynamics under study (e.g. a pest dynamics) and a model for the observation process [5,11,14].
Modelling and estimation of propagule dispersal to learn about dispersal capacities of various organisms and infer processes which perturb the dispersal [3,6,8,10,12,r5].
Hidden processes (or latent processes) incorporated into models to handle unobserved environmental heterogeneity or to describe unobserved components of dynamics [1,3,4,7,8,9,11,14,r4].
Residual analysis to determine what is lacking in a model and to help in specifying more sophisticated models, especially models with hidden processes [1,4,r2].
Estimation methods without likelihood to estimate parameters of models for which writing and/or maximizing the likelihood is difficult, as it is the case for some models with spatial dependences and some hierarchical models [15].
Dealing with scale discrepancies to conciliate, in the construction of a model, the sampling and phenomenon scales and to deal with datasets collected at different resolutions [5,11,r2].
Describing aggregation of individuals and decomposing the complexity of aggregation to better understand settlement strategies [16,13].
Do not hesitate to ask me for the documents mentioned below if you cannot download them.
Publications:
[16] Kretzschmar A., Soubeyrand S. & Desassis N. (2010). Aggregation patterns in hierarchy/proximity spaces. Ecological Complexity 7: 21-31. doi:10.1016/j.ecocom.2009.03.012.
[15] Soubeyrand S., Carpentier F., Desassis N. & Chadœuf J. (2009). Inference with a contrast-based posterior distribution and application in spatial statistics. Statistical Methodology 6: 466-477. doi:10.1016/j.stamet.2009.03.003. (previous version in French).
[14] Soubeyrand S., Laine A.L., Hanski I. & Penttinen A. (2009). Spatio-temporal structure of host-pathogen interactions in a metapopulation. The American Naturalist 174: 308-320. doi:10.1086/603624
[13] Georgescu V., Soubeyrand S., Kretzschmar A. and Laine A.-L. (2009). Exploring spatial and multitype assemblages of species abundances. Biometrical Journal 51: 979-995. doi:10.1002/bimj.200900055
[12] Soubeyrand S., Enjalbert J., Kretzschmar A. & Sache I. (2009). Building anisotropic sampling schemes for the estimation of anisotropic dispersal. Annals of Applied Biology 154: 399-411. doi:110.1111/j.1744-7348.2008.00310.x. (R code mentioned in this article).
[11] Soubeyrand S., Neuvonen S. & Penttinen A. (2009). Mechanical-statistical modeling in ecology: from outbreak detections to pest dynamics. Bulletin of Mathematical Biology 71: 318-338. doi:10.1007/s11538-008-9363-9. [10] Soubeyrand S., Held L., Hohle M. & Sache I. (2008). Modelling the spread in space and time of an airborne plant disease. Journal of the Royal Statistical Society C 57: 253-272. doi:10.1111/j.1467-9876.2007.00612.x.
[9] Lannou C., Soubeyrand S., Frezal L. & Chadœuf J. (2008). Autoinfection in wheat leaf rust epidemics. The New Phytologist 177: 1001-1011. doi:10.1111/j.1469-8137.2007.02337.x.
[8] Soubeyrand S., Enjalbert J. & Sache I. (2008). Accounting for roughness of circular processes: Using Gaussian random processes to model the anisotropic spread of airborne plant disease. Theoretical Population Biology 73: 92-103. doi:10.1016/j.tpb.2007.09.005.
[7] Soubeyrand S., Beaudouin R., Desassis N. & Monod G. (2007). Model-based estimation of the link between the daily survival probability and a time-varying covariate, application to mosquitofish survival data. Mathematical Biosciences 210: 508-522. doi:10.1016/j.mbs.2007.06.005.
[6] Soubeyrand S., Enjalbert J., Sanchez A. & Sache I. (2007). Anisotropy, in density and in distance, of the dispersal of yellow rust of wheat: Experiments in large field plots and estimation. Phytopathology 97: 1315-1324. doi:10.1094/PHYTO-97-10-1315.
[5] Soubeyrand S., Thébaud G. & Chadœuf J. (2007). Accounting for biological variability and sampling scale: a multi-scale approach to building epidemic models. Journal of the Royal Society Interface 4: 985-997. doi:10.1098/rsif.2007.1154.
[4] Soubeyrand S. & Chadœuf J. (2007). Residual-based specification of a hidden random field included in a hierarchical spatial model. Computational Statistics and Data Analysis 51: 6404-6422. doi:10.1016/j.csda.2007.02.008.
[3] Soubeyrand S., Sache I., Lannou C. & Chadœuf J. (2007). A frailty model to assess plant disease spread from individual count data. Journal of Data Science 5: 67-83. Pdf file.
[2] Bénard-Capelle J., Soubeyrand S. & Neema C. (2006). Reproductive consequences of Colletotrichum lindemuthianum (Ascomycota) infection on wild bean plants (Phaseolus vulgaris). Canadian Journal of Botany 84: 1542-1547. doi:10.1139/B06-114. [1] Soubeyrand S., Chadœuf J., Sache I. & Lannou C. (2006). Residual-based specification of the random-effects distribution for cluster data. Statistical Methodology 3: 464-482. doi:10.1016/j.stamet.2005.12.005. Research Reports:
[r1] Chadœuf J., Fady B., Goreaud F., Pontailler J. Y. & Soubeyrand S. (2005). Tests non-paramétriques d'indépendance de la répartition d'objets complètement observables distribués dans le plan. Compte rendu #220517001, Institut de l'Elevage. Pdf file.
[r2] Soubeyrand S. (2005). Spécifier un processus caché non modélisé en déterminant le lien asymptotique entre résidus et processus caché. Application à l'analyse de la variabilité dans les expériences de propagation des rouilles du blé. Thèse de doctorat, Université Montpellier 2. Pdf file.
[r3] Soubeyrand S. & Sache I. (2007). Analyse des phases précoces d'une épidémie affectant les organes aériens des plantes: Application aux rouilles du blé.
[r4] Mrkvicka T., Soubeyrand S. and Chadœuf J. (2009). Goodness-of-fit test of the mark distribution in a point process with non-stationary marks. Pdf file.
[r5] Soubeyrand S., Roques L., Coville J. and Fayard J. (2010). Patchy patterns due to group dispersal. Pdf file.
[r6] Roques L., Soubeyrand S. and Rousselet J. (2010). A statistical-reaction-diffusion approach for analyzing expansion processes.
[r7] Georgescu V., Desassis N., Soubeyrand S., Kretzschmar A. and Senoussi R. (2010). A hierarchical model for multivariate data of different types and maximum likelihood estimation .
Doctorate in biostatistics (2002-2005, University of Montpellier 2, France)
Research master in fundamental mathematics and applications, specialization in statistics (2001-2002, University of Rennes 1, France)
Master in statistics and information analysis (1999-2002, ENSAI, Rennes, France)
Licence in economical sciences (2000-2001, University of Rennes 1, France)
Undergraduation in mathematics and physics (1996-1999, Classe préparatoire MP, Lycée Paul Cézanne, Aix-en-Provence, France)
Postdoctoral position (2005-2008) funded by INRA and spent at
Doctoral position (2002-2005) funded by INRA and spent at
Visiting student (March 2002 - Aug. 2002) at the University of Chicago, USA, under the supervision of Pr. M. L. Stein.
Visiting student (Summer 2001) at the "Biometrics" research unit of INRA Avignon, France, under the supervision of Dr. J. Chadœuf.
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Rédacteur : Malika |
