Výsledky vyhledávání - "Cocucci, Tadeo"

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Transmission matrix parameter estimation of COVID-19 evolution with age compartments using ensemble-based data assimilation

Autor: Rosa, Santiago, Pulido, Manuel, Ruiz, Juan, Cocucci, Tadeo

The COVID-19 pandemic and its multiple outbreaks have challenged governments around the world. Much of the epidemiological modeling was based on pre-pandemic contact information of the population, which changed drastically due to governmental health

Externí odkaz: http://arxiv.org/abs/2309.07146

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Inference in epidemiological agent-based models using ensemble-based data assimilation

Autor: Cocucci, Tadeo Javier, Pulido, Manuel, Aparicio, Juan, Ruiz, Juan, Simoy, Ignacio, Rosa, Santiago

To represent the complex individual interactions in the dynamics of disease spread informed by data, the coupling of an epidemiological agent-based model with the ensemble Kalman filter is proposed. The statistical inference of the propagation of a d

Externí odkaz: http://arxiv.org/abs/2111.00073

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Model error covariance estimation in particle and ensemble Kalman filters using an online expectation-maximization algorithm

Autor: Cocucci, Tadeo Javier, Pulido, Manuel, Lucini, Magdalena, Tandeo, Pierre

The performance of ensemble-based data assimilation techniques that estimate the state of a dynamical system from partial observations depends crucially on the prescribed uncertainty of the model dynamics and of the observations. These are not usuall

Externí odkaz: http://arxiv.org/abs/2003.02109

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Akademický článek

Inference in epidemiological agent-based models using ensemble-based data assimilation.

Autor: Cocucci, Tadeo Javier^1,2 (AUTHOR) tadeojcocucci@gmail.com, Pulido, Manuel^2,3,4 (AUTHOR), Aparicio, Juan Pablo^5,6 (AUTHOR), Ruíz, Juan^7,8 (AUTHOR), Simoy, Mario Ignacio^5,9 (AUTHOR), Rosa, Santiago^1,2 (AUTHOR)

Publikováno v: PLoS ONE. 3/4/2022, Vol. 17 Issue 3, p1-28. 28p.