Member of the Statistics Team, Laboratory of Mathematics (LMA), Avignon University.
Long term visitor (since September 2014) at Biostatistics and spatial processes Unit, INRA-Avignon.

Spatial and spatio-temporal point processes

Predicting the conditional intensity of a spatial point process

Spatio-temporal point processes in human epidemiology

Simulation of spatio-temporal point patterns

Estimating second-order characteristics of inhomogeneous spatio-temporal point processes

Non-parametric estimates of the K-function and the pair correlation function play a fundamental role for exploratory and explanatory analysis of spatial and spatio-temporal point patterns. These estimates usually require information from outside of the study region, resulting to the so-called edge effects which have to be corrected. They also depend on first-order characteristics, which have to be estimated in practice. I extended classical edge correction methods to the spatio-temporal setting and compared the performance of the related estimators for stationary/non-stationary and/or isotropic/anisotropic point patterns. Further, I explored the influence of the estimated intensity function on these estimators.

Infestation strategy of spruce bark beetles


Project on Robust and Optimal Locations for Sustainable Environment and Systems

The aim of this interdisciplinary project is to provide to decision makers and planners of the geographic space reliable and relevant information allowing them to evaluate characteristics and properties of several centres in theoretical or practical geographic context, thus according to different spatial patterns of demand points.

Weighted M-estimators for clustered data

New adaptive and robust estimators of location


Modelling effect of herbicide on weeds and crop yield

Hydromagnetic coupling in low noise environment

Detecting zones of abrupt changes in spatial data


Marie-Jeanne Laurent-Duhamel 2006 prize of the French statistical society (SFdS: Société Francaise de Statistique).