6 citations · 13 across the 7 of their papers we have counts for
9 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…
A simulation study to compare 210Pb dating data analyses
Marco A Aquino-López, Nicole K. Sanderson, Maarten Blaauw +4
The increasing interest in understanding anthropogenic impacts on the environment have led to a considerable number of studies focusing on sedimentary records for the last 1…
Filtering and improved Uncertainty Quantification in the dynamic estimation of effective reproduction numbers
Marcos A. Capistrán, Antonio Capella, J. Andrés Christen
The effective reproduction number measures an infectious disease's transmissibility as the number of secondary infections in one reproduction time in a population having both…
Forecasting hospital demand during COVID-19 pandemic outbreaks
Marcos A. Capistran, Antonio Capella, J. Andres Christen
We present a compartmental SEIRD model aimed at forecasting hospital occupancy in metropolitan areas during the current COVID-19 outbreak. The model features asymptomatic and sympt…
Systematic statistical analysis of microbial data from dilution series
J Andrés Christen, Al Parker
In microbial studies, samples are often treated under different experimental conditions and then tested for microbial survival. A technique, dating back to the 1880's, consists of…
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…