Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Sylvain Delattre"'
Publikováno v:
Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021).
The European Commission has completed a study under the European Union Horizon 2020 research programme to investigate the opportunity for developing new services based on the Galileo Return Link Message. One of these services, subject of the paper pr
Publikováno v:
EuroBrake 2020 Technical Programme.
Autor:
Antonio Rolla, Sylvain Delattre, Chiara Scaleggi, Jeremie Benoist, Javier Perez-Bartolome, Pol Novell, Igor Stojkovic
Publikováno v:
Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019).
Autor:
Jeremie Benoist, Sylvain Delattre, Antonio Rolla, Javier Perez-Bartolome, Pol Novell, Maxime Fontanier, Chiara Scaleggi
Publikováno v:
Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019).
Publikováno v:
Annals of Statistics
Annals of Statistics, Institute of Mathematical Statistics, 2021, 49 (1), pp.272-294. ⟨10.1214/20-AOS1956⟩
Ann. Statist. 49, no. 1 (2021), 272-294
Annals of Statistics, Institute of Mathematical Statistics, 2021, 49 (1), pp.272-294. ⟨10.1214/20-AOS1956⟩
Ann. Statist. 49, no. 1 (2021), 272-294
We introduce one-sided versions of Huber's contamination model, in which corrupted samples tend to take larger values than uncorrupted ones. Two intertwined problems are addressed: estimation of the mean of uncorrupted samples (minimum effect) and se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0d711d355a0ba32f7716aae51a20466
Autor:
Aurélie Fischer, Sylvain Delattre
Publikováno v:
Ann. Inst. H. Poincaré Probab. Statist. 56, no. 3 (2020), 2108-2140
In this paper, we are interested in the following problem: find a curve $f$ minimizing the quantity $\mathbb{E}[\min_{t\in[0,1]}\|X-f(t)\|^{2}]$, where $X$ is a random variable, under a length constraint. This question is known in the probability and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5eb995c68367a9f587c79d4aee821d7b
https://hal.archives-ouvertes.fr/hal-01555892v2/document
https://hal.archives-ouvertes.fr/hal-01555892v2/document
Autor:
Sylvain Delattre, Nicolas Fournier
Publikováno v:
Journal of Statistical Planning and Inference
Journal of Statistical Planning and Inference, Elsevier, 2017, 185, pp.69-93. ⟨10.1016/j.jspi.2017.01.004⟩
Journal of Statistical Planning and Inference, Elsevier, 2017, 185, pp.69-93. ⟨10.1016/j.jspi.2017.01.004⟩
We study in detail the bias and variance of the entropy estimator proposed by Kozachenko and Leonenko (1987) for a large class of densities on R d . We then use the work of Bickel and Breiman (1983) to prove a central limit theorem in dimensions 1 an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7530c7b797abc9e3f3b5aefd170c903b
https://hal.archives-ouvertes.fr/hal-03180534
https://hal.archives-ouvertes.fr/hal-03180534
Publikováno v:
Journal of Statistical Physics
Journal of Statistical Physics, Springer Verlag, 2016, 165, pp.785-798
Journal of Statistical Physics, Springer Verlag, 2016, 165 (4), pp.785-798. 〈10.1007/s10955-016-1652-3〉
Journal of Statistical Physics, 2016, 165 (4), pp.785-798. ⟨10.1007/s10955-016-1652-3⟩
Journal of Statistical Physics, Springer Verlag, 2016, 165 (4), pp.785-798. ⟨10.1007/s10955-016-1652-3⟩
Journal of Statistical Physics, Springer Verlag, 2016, 165, pp.785-798
Journal of Statistical Physics, Springer Verlag, 2016, 165 (4), pp.785-798. 〈10.1007/s10955-016-1652-3〉
Journal of Statistical Physics, 2016, 165 (4), pp.785-798. ⟨10.1007/s10955-016-1652-3⟩
Journal of Statistical Physics, Springer Verlag, 2016, 165 (4), pp.785-798. ⟨10.1007/s10955-016-1652-3⟩
We address the issue of the proximity of interacting diffusion models on large graphs with a uniform degree property and a corresponding mean field model, i.e. a model on the complete graph with a suitably renormalized interaction parameter. Examples
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fae06e85ea8e987d6e19e386f3a5e776
https://hal.archives-ouvertes.fr/hal-01504830
https://hal.archives-ouvertes.fr/hal-01504830
Publikováno v:
Annals of Applied Probability
Annals of Applied Probability, 2016
Ann. Appl. Probab. 26, no. 1 (2016), 216-261
Annals of Applied Probability, Institute of Mathematical Statistics (IMS), 2016
Annals of Applied Probability, 2016
Ann. Appl. Probab. 26, no. 1 (2016), 216-261
Annals of Applied Probability, Institute of Mathematical Statistics (IMS), 2016
International audience; We generalise the construction of multivariate Hawkes processes to a possibly infinite network of counting processes on a directed graph G. The process is constructed as the solution to a system of Poisson driven stochastic di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab390e028c0e985653b5c0d19478649b
https://hal.science/hal-01102806/document
https://hal.science/hal-01102806/document
Autor:
Sylvain Delattre, Nicolas Fournier
Publikováno v:
Electronic Journal of Statistics
Electronic Journal of Statistics, Shaker Heights, OH : Institute of Mathematical Statistics, 2016, 10 (1), pp.1223-1295
Electron. J. Statist. 10, no. 1 (2016), 1223-1295
Electronic Journal of Statistics, 2016, 10 (1), pp.1223-1295
Electronic Journal of Statistics, Shaker Heights, OH : Institute of Mathematical Statistics, 2016, 10 (1), pp.1223-1295
Electron. J. Statist. 10, no. 1 (2016), 1223-1295
Electronic Journal of Statistics, 2016, 10 (1), pp.1223-1295
We consider a population of N N individuals, of which we observe the number of actions until time t t . For each couple of individuals (i,j) i j , j j may or not influence i i , which we model by i.i.d. Bernoulli(p) p -random variables, for some unkn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f2fc1207b1e99ec5423ee8d532c641b
https://hal.archives-ouvertes.fr/hal-01367752
https://hal.archives-ouvertes.fr/hal-01367752