Zobrazeno 1 - 10
of 131
pro vyhledávání: '"Laredo, Catherine"'
The estimation from available data of parameters governing epidemics is a major challenge. In addition to usual issues (data often incomplete and noisy), epidemics of the same nature may be observed in several places or over different periods. The re
Externí odkaz:
http://arxiv.org/abs/2109.08428
Despite the recent development of methods dealing with partially observed epidemic dynamics (unobserved model coordinates, discrete and noisy outbreak data), limitations remain in practice, mainly related to the quantity of augmented data and calibra
Externí odkaz:
http://arxiv.org/abs/2007.08974
Autor:
Larédo, Catherine, Tran, Viet Chi
Publikováno v:
Lecture Notes in Mathematics, Vol. 2255. Springer. 2019
This document is the Part IV of the book 'Stochastic Epidemic Models with Inference' edited by Tom Britton and Etienne Pardoux. It is written by Catherine Lar\'edo, with the contribution of Viet Chi Tran for the Chapter 4. Epidemic data present chall
Externí odkaz:
http://arxiv.org/abs/2004.07688
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
In Stochastic Processes and their Applications December 2021 142:513-548
Publikováno v:
In Computational Statistics and Data Analysis December 2021 164
Publikováno v:
Annals of Statistics 2014, Vol. 42, No. 3, 1145-1165
We prove a global asymptotic equivalence of experiments in the sense of Le Cam's theory. The experiments are a continuously observed diffusion with nonparametric drift and its Euler scheme. We focus on diffusions with nonconstant-known diffusion coef
Externí odkaz:
http://arxiv.org/abs/1406.5863
Multidimensional continuous-time Markov jump processes $(Z(t))$ on $\mathbb{Z}^p$ form a usual set-up for modeling $SIR$-like epidemics. However, when facing incomplete epidemic data, inference based on $(Z(t))$ is not easy to be achieved. Here, we s
Externí odkaz:
http://arxiv.org/abs/1305.3492
We consider a multidimensional diffusion X with drift coefficient b({\alpha},X(t)) and diffusion coefficient {\epsilon}{\sigma}({\beta},X(t)). The diffusion is discretely observed at times t_k=k{\Delta} for k=1..n on a fixed interval [0,T]. We study
Externí odkaz:
http://arxiv.org/abs/1206.0916
Multitype branching processes with immigration in one type are used to model the dynamics of stage-structured plant populations. Parametric inference is first carried out when count data of all types are observed. Statistical identifiability is prove
Externí odkaz:
http://arxiv.org/abs/0902.4520