3 citations · 3 across the 3 of their papers we have counts for
5 papers
Bayesian sequential data assimilation for COVID-19 forecasting
Maria L. Daza-Torres, Marcos A. Capistrán, Antonio Capella +1
We introduce a Bayesian sequential data assimilation method for COVID-19 forecasting. It is assumed that suitable transmission, epidemic and observation models are available and pr…
Bayesian Analysis of Glucose Dynamics during the Oral Glucose Tolerance Test (OGTT)
Hugo Flores-Arguedas, Marcos A. Capistrán
In this paper, we propose a model of the dynamics of the blood glucose level during an Oral Glucose Tolerance Test (OGTT). This dynamic includes the action of insulin and glucagon…
Error control in the numerical posterior distribution in the Bayesian UQ analysis of a semilinear evolution PDE
Maria L. Daza-Torres, J. Cricelio Montesinos-López, Marcos A. Capistrán +2
We elaborate on results obtained in \cite{christen2018} for controlling the numerical posterior error for Bayesian UQ problems, now considering forward maps arising from the soluti…
Early pathogen replacement in a model of Influenza and Respiratory Syncytial Virus with partial vaccination. A computational study
Yury E. García, Marcos A. Capistrán
In this paper, we carry out a computational study using the spectral decomposition of the fluctuations of a two-pathogen epidemic model around its deterministic attractor, i.e., st…
A Generic Multivariate Distribution for Counting Data
Marcos Capistrán, J. Andrés Christen
Motivated by the need, in some Bayesian likelihood free inference problems, of imputing a multivariate counting distribution based on its vector of means and variance-covariance ma…