Zobrazeno 1 - 10
of 349
pro vyhledávání: '"P, Gegout"'
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
Autor:
S. Plön, K. Andra, L. Auditore, C. Gegout, P. J. Hale, O. Hampe, M. Ramilo-Henry, P. Burkhardt-Holm, A. M. Jaigirdar, L. Klein, M. K. Maewashe, J. Müssig, N. Ramsarup, N. Roussouw, R. Sabin, T. C. Shongwe, P. Tuddenham
Publikováno v:
npj Biodiversity, Vol 3, Iss 1, Pp 1-9 (2024)
Abstract The current state of marine mammal populations reflects increasing anthropogenic impacts on the global Ocean. Adopting a holistic approach towards marine mammal health, incorporating healthy individuals and healthy populations, these taxa pr
Externí odkaz:
https://doaj.org/article/0ed174c1bfca4efb815843e1c3dbfe30
Publikováno v:
Drone Systems and Applications, Vol 12, Iss , Pp 1-7 (2024)
Predicting how advertised zoom capabilities of commercially available drones being deployed for animal management will perform can be difficult, as promotional and marketing materials supplied by the manufacturer do not necessarily reflect real-world
Externí odkaz:
https://doaj.org/article/cd8bf64113584d9aa8de7643cf21aff2
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
Publikováno v:
Heliyon, Vol 9, Iss 7, Pp e17789- (2023)
Objective: This systematic review and meta-analysis evaluated the effect of the use of available drugs loaded gels used as adjunct to non-surgical periodontal therapy. Methods: Systematic research on PubMed/MEDLINE, Cochrane Central register of Contr
Externí odkaz:
https://doaj.org/article/a35fd71e99004efdb66ffd13a338efca
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