Zobrazeno 1 - 10
of 119
pro vyhledávání: '"Gegout-Petit A"'
Hymenoscyphus fraxineus is an invasive forest fungal pathogen that induces severe dieback in European ash populations. The spread of the disease has been closely monitored in France by the forest health survey system. We have developed a mechanistics
Externí odkaz:
http://arxiv.org/abs/2409.06273
Autor:
Benetos, Athanasios, Coudray, Olivier, Gégout-Petit, Anne, Lenôtre, Lionel, Toupance, Simon, Villemonais, Denis
We build and study an individual based model of the telomere length's evolution in a population across multiple generations. This model is a continuous time typed branching process, where the type of an individual includes its gamete mean telomere le
Externí odkaz:
http://arxiv.org/abs/2311.09678
We consider the problem of graph estimation in a zero-inflated Gaussian model. In this model, zero-inflation is obtained by double truncation (right and left) of a Gaussian vector. The goal is to recover the latent graph structure of the Gaussian vec
Externí odkaz:
http://arxiv.org/abs/1911.07694
Autor:
Bastien, Bérangère, Boukhobza, Taha, Dumond, Hélène, Gégout-Petit, Anne, Muller-Gueudin, Aurélie, Thiébaut, Charlène
We propose a new methodology for selecting and ranking covariates associated with a variable of interest in a context of high-dimensional data under dependence but few observations. The methodology successively intertwines the clustering of covariate
Externí odkaz:
http://arxiv.org/abs/1909.05481
We consider the problem of variable selection in regression models. In particular, we are interested in selecting explanatory covariates linked with the response variable and we want to determine which covariates are relevant, that is which covariate
Externí odkaz:
http://arxiv.org/abs/1907.03153
We propose a new centered autologistic spatio-temporal model for binary data on a lattice. The centering allows the interpretation of the autoregression coefficients in separating the large scale structure of the model corresponding to an expected me
Externí odkaz:
http://arxiv.org/abs/1811.06782
We consider the problem of variable selection when the response is ordinal, that is an ordered categorical variable. In particular, we are interested in selecting quantitative explanatory variables linked with the ordinal response variable and we wan
Externí odkaz:
http://arxiv.org/abs/1805.10097
Autor:
Taccoen, Adrien, Piedallu, Christian, Seynave, Ingrid, Perez, Vincent, Gégout-Petit, Anne, Nageleisen, Louis-Michel, Bontemps, Jean-Daniel, Gégout, Jean-Claude
Publikováno v:
Proceedings: Biological Sciences, 2019 Apr 01. 286(1900), 1-10.
Externí odkaz:
https://www.jstor.org/stable/26665435
Publikováno v:
In Spatial Statistics June 2019 31
As part of optimizing the reliability, Thales Optronics now includes systems that examine the state of its equipment. The aim of this paper is to use hidden Markov Model to detect as soon as possible a change of state of optronic equipment in order t
Externí odkaz:
http://arxiv.org/abs/1212.2358