Credibility interval Design for Covid19 Reproduction Number from Nonsmooth Langevin-type Monte Carlo sampling-Reference-Cited by-同舟云学术

Credibility interval Design for Covid19 Reproduction Number from Nonsmooth Langevin-type Monte Carlo sampling

Published:2022-08-29 Issue: Volume: Page:
ISSN:
Container-title:2022 30th European Signal Processing Conference (EUSIPCO)
language:
Short-container-title:

Author:

Artigas Hugo¹,Pascal Barbara²,Fort Gersende³,Abry Patrice⁴,Pustelnik Nelly⁵

Affiliation:

1. Ecole Polytechnique,Paris,France

2. Univ. Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL

3. CNRS, Institut de Mathématiques de Toulouse,France

4. CNRS, ENS de Lyon,France

5. CNRS, ENS de Lyon, France, INMA, UCLouvain,Belgium

Funder

CNRS

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9908519/9909515/09909547.pdf?arnumber=9909547

Reference30 articles.

1. Estimation et intervalles de crédibilité pour le taux de reproduction de la Covid19 par échantillonnage Monte Carlo Langevin proximal;abry;XXVIIIème Colloque Francophone de Traitement du Signal et des Images Nancy France,2022

2. Improved inference of time-varying reproduction numbers during infectious disease outbreaks

3. Epidemiological characteristics of COVID-19 cases in Italy and estimates of the reproductive numbers one month into the epidemic;riccardo;medRxiv 2020 04 08 20056861,2020

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Pandemic Intensity Estimation from Stochastic Approximation-Based Algorithms;2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP);2023-12-10

2. Proximal-Langevin Samplers for Nonsmooth Composite Posteriors: Application to the Estimation of Covid19 Reproduction Number;2023 31st European Signal Processing Conference (EUSIPCO);2023-09-04

3. Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers;IEEE Transactions on Signal Processing;2023