Marcos A Capistran
Marcos A Capistran
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TítuloCitado porAño
First principles modeling of nonlinear incidence rates in seasonal epidemics
JM Ponciano, MA Capistrán
PLoS computational biology 7 (2), 2011
Parameter estimation of some epidemic models. The case of recurrent epidemics caused by respiratory syncytial virus
MA Capistrán, MA Moreles, B Lara
Bulletin of mathematical biology 71 (8), 1890, 2009
Bayesian analysis of ODEs: solver optimal accuracy and Bayes factors
MA Capistrán, JA Christen, S Donnet
SIAM/ASA Journal on Uncertainty Quantification 4 (1), 829-849, 2016
Prediction of multi-modal sensory situations, a forward model approach
B Lara, JM Rendon, M Capistran
Proceedings of the 4th IEEE Latin America Robotics Symposium 1, 504-542, 2007
Explicit formulas for the reflection and transmission coefficients of one-component waves through a stack of an arbitrary number of layers
PC Vinh, TT Tuan, MA Capistran
Wave Motion 54, 134-144, 2015
Effective parameter dimension via Bayesian model selection in the inverse acoustic scattering problem
A Palafox, MA Capistrán, JA Christen
Mathematical Problems in Engineering 2014, 2014
A study of latency, reactivation and apoptosis throughout HIV pathogenesis
MA Capistrán
Mathematical and computer modelling 52 (7-8), 1011-1015, 2010
Superinfection between influenza and RSV alternating patterns in San Luis potosí state, México
JX Velasco-Hernández, M Núñez-López, A Comas-García, DEN Cherpitel, ...
PloS one 10 (3), 2015
On the modeling of long-term HIV-1 infection dynamics
MA Capistran, FJ Solis
Mathematical and computer modelling 50 (5-6), 777-782, 2009
On the naturally induced sources for obstacle scattering
PS Meyer, M Capistran, Y Chen
Communications in Computational Physics 1, 974-83, 2006
Point cloud‐based scatterer approximation and affine invariant sampling in the inverse scattering problem
A Palafox, M Capistrán, JA Christen
Mathematical Methods in the Applied Sciences 40 (9), 3393-3403, 2017
Solution of the inverse scattering problem from inhomogeneous media using affine invariant sampling
ML Daza, MA Capistrán, JA Christen, L Guadarrama
Mathematical Methods in the Applied Sciences 40 (9), 3311-3319, 2017
Towards uncertainty quantification and inference in the stochastic SIR epidemic model
MA Capistrán, JA Christen, JX Velasco-Hernández
Mathematical biosciences 240 (2), 250-259, 2012
Numerical posterior distribution error control and expected Bayes Factors in the bayesian Uncertainty Quantification of Inverse Problems
JA Christen, MA Capistrán, MÁ Moreles
arXiv preprint arXiv:1607.02194, 2016
A diabetes minimal model for oral glucose tolerance tests
JA Christen, A Monroy, S Alavez
Cornell University Library, 2016
A generic multivariate distribution for counting data
M Capistrán, JA Christen
arXiv preprint arXiv:1103.4866, 2011
Convergence for a family of discrete advection–reaction operators
FJ Solis, F Ongay, S Jerez, M Capistran
Computers & mathematics with applications 59 (1), 499-505, 2010
Forward models and the prediction of undesired situations
B Lara, JM Rendon, M Capistrn
Research in Computing Science 21, 161-170, 2006
Posterior distribution existence and error control in Banach spaces in the Bayesian approach to UQ in inverse problems
JA Christen, MA Capistrán, ML Daza-Torres, H Flores-Argüedas, ...
arXiv preprint arXiv:1712.03299, 2017
Numerical posterior distribution error control and expected Bayes Factors in the bayesian Uncertainty Quantification of Inverse Problems
J Andrés Christen, MA Capistrán, M Ángel Moreles
arXiv preprint arXiv:1607.02194, 2016
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