A5027869546- Genetic and phenotypic traits in livestock
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Financial Risk and Volatility Modeling
- Bayesian Methods and Mixture Models
- Animal Behavior and Welfare Studies
- Statistical Methods and Bayesian Inference
- Data Analysis with R
- Gene expression and cancer classification
- Genetics and Plant Breeding
- Probability and Risk Models
- Statistical Distribution Estimation and Applications
- Genetic Mapping and Diversity in Plants and Animals
- Photoacoustic and Ultrasonic Imaging
- Agriculture and Farm Safety
- Insurance, Mortality, Demography, Risk Management
- Optical Imaging and Spectroscopy Techniques
- Effects of Environmental Stressors on Livestock
- Genomics and Rare Diseases
- Meat and Animal Product Quality
- demographic modeling and climate adaptation
- Monetary Policy and Economic Impact
- Agriculture and Rural Development Research
- Statistical and Computational Modeling
- Animal Disease Management and Epidemiology
Génétique Physiologie et Systèmes d'Elevage
2021-2024
Université de Toulouse
2022-2024
École Nationale Vétérinaire de Toulouse
2022-2024
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2022-2024
Institut national de recherche en informatique et en automatique
2020
Centre National de la Recherche Scientifique
2014-2020
École Polytechnique
2020
Le Mans Université
2019
Laboratoire de Mathématiques
2018-2019
Inserm
2015-2016
Due to the diversification of farming systems and climate change, farm animals are exposed environmental disturbances which they respond differently depending on their robustness. Disturbances such as heat stress or sanitary challenges (not always recorded, especially when short duration low intensity) have a transitory impact animals, resulting in changes phenotypes production (feed intake, BW, etc.). The aim this study was evaluate unknown estimated genetic parameters breeding values (BV)...
Abstract Improving the robustness of animals has become a priority in breeding due to climate change, new societal demands, and agroecological transition. Components animal can be extracted from analysis adaptive response an disturbance using longitudinal data. Nonetheless, this is function as well characteristics (intensity duration). To correctly assess animal’s potential, it therefore useful know disturbances faces. The UpDown method, which detects characterizes unknown at different...
The parameters of generalized linear models (GLMs) are usually estimated by the maximum likelihood estimator (MLE) which is known to be asymptotically efficient. But MLE computed using a Newton-Raphson-type algorithm time-consuming for large number variables or modalities, sample size. An alternative closed-form proposed in this paper case categorical explanatory variables. Asymptotic properties studied. performances terms both computation time and asymptotic variance compared with Gamma...
In animal genetics, linear mixed models are used to deal with genetic and environmental effects. The variance covariance terms of these usually estimated by restricted maximum likelihood (REML), which provides unbiased estimators. A strong hypothesis REML estimation is the multi-normality response variables. However, in practice, even if marginal distributions each phenotype normal, assumption may be violated non-normality cross-sectional dependence structure, that say when copula...
A class of tests for change-point detection designed to be particularly sensitive changes in the cross-sectional rank correlation multivariate time series is proposed. The derived procedures are based on several extensions Spearman's rho. Two approaches carry out studied: first one resampling, second consists estimating asymptotic null distribution. validity both techniques proved under strongly mixing observations. procedure a key bandwidth parameter involved proposed, making...
Tests for break points detection in the law of random vectors have been proposed several papers. Nevertheless, they often little powers alternatives involving a change dependence between components vectors. Specific tests copula recent papers, but do not allow to conclude structure without condition that margins are constant. The goal this article is propose test when marginal distribution occurs at known instant. performances illustrated by Monte Carlo simulations.