361 citations · 1.1k across the 26 of their papers we have counts for
26 papers
Statistically bias-minimized peculiar velocity catalogs from Gibbs point processes and Bayesian inference
Jenny G. Sorce, Radu S. Stoica, Elmo Tempel
Galaxy peculiar velocities are excellent cosmological probes provided that biases inherent to their measurements are contained before any study. This paper proposes a new algorithm…
Hug model: parameter estimation via the ABC Shadow algorithm
Christophe Reype, Radu S. Stoica, Didier Gemmerlé +2
Studying geological fluids mixing systems allows to understand interaction among water sources. The Hug model is an interaction point process model that can be used to estimate the…
HUG model: an interaction point process for Bayesian detection of multiple sources in groundwaters from hydrochemical data
Christophe Reype, Radu S. Stoica, Antonin Richard +1
This paper presents a new interaction point process that integrates geological knowledge for the purpose of automatic sources detection of multiple sources in groundwaters from hyd…
Morpho-statistical characterisation of the spatial galaxy distribution through Gibbs point processes
Lluís Hurtado-Gil, Radu S. Stoica, Vicent J. Martínez +1
This paper proposes a morpho-statistical characterisation of the galaxy distribution through spatial statistical modelling based on inhomogeneous Gibbs point processes. The galaxy…
Bayesian statistical analysis of hydrogeochemical data using point processes: a new tool for source detection in multicomponent fluid mixtures
Christophe Reype, Antonin Richard, Madalina Deaconu +1
Hydrogeochemical data may be seen as a point cloud in a multi-dimensional space. Each dimension of this space represents a hydrogeochemical parameter (i.e. salinity, solute concent…
Gibbsian T-tessellation model for agricultural landscape characterization
Katarzyna Adamczyk-Chauvat, Mouna Kassa, Kiên Kiêu +2
A new class of planar tessellations, named T-tessellations, was introduced in ([10]). A model was proposed to be considered as a completely random T-tessellation model (CRTT) and i…