Zobrazeno 1 - 10
of 125
pro vyhledávání: '"Lévy-Leduc, C."'
We propose a novel and efficient iterative two-stage variable selection approach for multivariate sparse GLARMA models, which can be used for modelling multivariate discrete-valued time series. Our approach consists in iteratively combining two steps
Externí odkaz:
http://arxiv.org/abs/2208.14721
In this paper, we propose a novel and efficient two-stage variable selection approach for sparse GLARMA models, which are pervasive for modeling discrete-valued time series. Our approach consists in iteratively combining the estimation of the autoreg
Externí odkaz:
http://arxiv.org/abs/2007.08623
Motivated by an application to the clustering of milking kinetics of dairy goats, we propose in this paper a novel approach for functional data clustering. This issue is of growing interest in precision livestock farming that has been largely based o
Externí odkaz:
http://arxiv.org/abs/1907.09192
Autor:
Perrot-Dockès, M., Lévy-Leduc, C., Chiquet, J., Sansonnet, L., Brégère, M., Étienne, M. -P., Robin, S., Genta-Jouve, G.
Omic data are characterized by the presence of strong dependence structures that result either from data acquisition or from some underlying biological processes. In metabolomics, for instance, data resulting from Liquid Chromatography-Mass Spectrome
Externí odkaz:
http://arxiv.org/abs/1704.00076
In computational biology, numerous recent studies have been dedicated to the analysis of the chromatin structure within the cell by two-dimensional segmentation methods. Motivated by this application, we consider the problem of retrieving the diagona
Externí odkaz:
http://arxiv.org/abs/1506.03198
This paper considers the possibility that the daily average Particulate Matter (PM$_{10}$) concentration is a seasonal fractionally integrated process with time-dependent variance (volatility). In this context, one convenient extension is to consider
Externí odkaz:
http://arxiv.org/abs/1206.2425
Publikováno v:
Journal of Agricultural, Biological, and Environmental Statistics, 2018 Sep 01. 23(3), 374-389.
Externí odkaz:
https://www.jstor.org/stable/48720185
Publikováno v:
In Statistics and Probability Letters June 2024 209
Publikováno v:
Bernoulli, 2017 May 01. 23(2), 1408-1447.
Externí odkaz:
http://www.jstor.org/stable/44245623
Publikováno v:
In Journal of Statistical Planning and Inference August 2017 187:44-55