activity
20062016
most citedMaximum pseudolikelihood estimator for exponential family models of marked Gibbs point processes

29 citations · 71 across the 9 of their papers we have counts for

collaborators

9 papers

math.PR2016★ 1 cited

Computing wedge probabilities

Bernard Ycart, Rémy Drouilhet

A new formula for the probability that a standard Brownian motion stays between two linear boundaries is proved. A simple algorithm is deduced. Uniform precision estimates are comp…

math.ST2010★ 14 cited

Asymptotic properties of the maximum pseudo-likelihood estimator for stationary Gibbs point processes including the Lennard-Jones model

Jean-François Coeurjolly, Rémy Drouilhet

This paper presents asymptotic properties of the maximum pseudo-likelihood estimator of a vector $\Vectθ$ parameterizing a stationary Gibbs point process. Sufficient conditions, ex…

math.ST2010★ 14 cited

Takacs Fiksel method for stationary marked Gibbs point processes

Jean-François Coeurjolly, David Dereudre, Rémy Drouilhet +1

This paper studies a method to estimate the parameters governing the distribution of a stationary marked Gibbs point process. This procedure, known as the Takacs-Fiksel method, is…

math.PR2010★ 4 cited

Existence of Gibbsian point processes with geometry-dependent interactions

David Dereudre, Remy Drouilhet, Hans-Otto Georgii

We establish the existence of stationary Gibbsian point processes for interactions that act on hyperedges between the points. For example, such interactions can depend on Delaunay…

stat.CO2009★ 1 cited

asympTest: an R package for performing parametric statistical tests and confidence intervals based on the central limit theorem

Jean-François Coeurjolly, Rémy Drouilhet, Pierre Lafaye De Micheaux +1

This paper describes an R package implementing large sample tests and confidence intervals (based on the central limit theorem) for various parameters. The one and two sample mean…

math.ST2008★ 29 cited

Maximum pseudolikelihood estimator for exponential family models of marked Gibbs point processes

Jean-Michel Billiot, Jean-François Coeurjolly, Rémy Drouilhet

This paper is devoted to the estimation of a vector parametrizing an energy function of a Gibbs point process, via the maximum pseudolikelihood method. Strong consistency a…