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Marcos A Capistrán

Showing results (1-10 of 8) with videos related to

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Plos Computational Biology|March 8, 2011
First principles modeling of nonlinear incidence rates in seasonal epidemicsJosé M Ponciano, Marcos A Capistrán
Mathematical Biosciences and Engineering : MBE|July 2, 2021
Bayesian analysis of Glucose dynamics during the Oral Glucose Tolerance Test (OGTT)Hugo Flores-Arguedas, Marcos A Capistrán
Bulletin of Mathematical Biology|July 2, 2009
Parameter estimation of some epidemic models. The case of recurrent epidemics caused by respiratory syncytial virusMarcos A Capistrán, Miguel A Moreles, Bruno Lara
Epidemics|September 8, 2022
Filtering and improved Uncertainty Quantification in the dynamic estimation of effective reproduction numbersMarcos A Capistrán, Antonio Capella, J Andrés Christen
Biomed Research International|October 2, 2015
A Bayesian Outbreak Detection Method for Influenza-Like IllnessYury E García, J Andrés Christen, Marcos A Capistrán
Mathematical Biosciences|September 20, 2012
Towards uncertainty quantification and inference in the stochastic SIR epidemic modelMarcos A Capistrán, J Andrés Christen, Jorge X Velasco-Hernández
Applied Mathematical Modelling|June 7, 2023
Disentangling the role of virus infectiousness and awareness-based human behavior during the early phase of the COVID-19 pandemic in the European UnionMarcos A Capistrán, Juan-Antonio Infante, Ángel M Ramos, et al.
Epidemics|April 29, 2022
Bayesian sequential data assimilation for COVID-19 forecastingMaria L Daza-Torres, Marcos A Capistrán, Antonio Capella, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Plos Computational Biology|March 8, 2011
First principles modeling of nonlinear incidence rates in seasonal epidemicsJosé M Ponciano, Marcos A Capistrán
Mathematical Biosciences and Engineering : MBE|July 2, 2021
Bayesian analysis of Glucose dynamics during the Oral Glucose Tolerance Test (OGTT)Hugo Flores-Arguedas, Marcos A Capistrán
Bulletin of Mathematical Biology|July 2, 2009
Parameter estimation of some epidemic models. The case of recurrent epidemics caused by respiratory syncytial virusMarcos A Capistrán, Miguel A Moreles, Bruno Lara
Epidemics|September 8, 2022
Filtering and improved Uncertainty Quantification in the dynamic estimation of effective reproduction numbersMarcos A Capistrán, Antonio Capella, J Andrés Christen
Biomed Research International|October 2, 2015
A Bayesian Outbreak Detection Method for Influenza-Like IllnessYury E García, J Andrés Christen, Marcos A Capistrán
Mathematical Biosciences|September 20, 2012
Towards uncertainty quantification and inference in the stochastic SIR epidemic modelMarcos A Capistrán, J Andrés Christen, Jorge X Velasco-Hernández
Applied Mathematical Modelling|June 7, 2023
Disentangling the role of virus infectiousness and awareness-based human behavior during the early phase of the COVID-19 pandemic in the European UnionMarcos A Capistrán, Juan-Antonio Infante, Ángel M Ramos, et al.
Epidemics|April 29, 2022
Bayesian sequential data assimilation for COVID-19 forecastingMaria L Daza-Torres, Marcos A Capistrán, Antonio Capella, et al.
Pageof 1