|
| Publications (available through email request)
|
-
A
Study of Latency, Reactivation and Apoptosis Throughout HIV
Pathogenesis,
M. Capistran,
Mathematical and Computer Modelling,
DOI:10.1016/j.mcm.2010.03.022
-
On
the modeling of the long-term HIV-1 Infection Dynamics,
M. Capistran and F Solis,
Mathematical and Computer Modelling,
DOI: 10.1016/j.mcm.2009.05.006, (2009).
-
Parameter
Estimation on Some Epidemic Models. The Case of Recurrent Epidemics
Caused by Respiratory Syncytial Virus,
M. Capistran, M.A. Moreles and Bruno Lara
Bulletin of Mathematical Biology,
DOI: 10.1007/s11538-009-9429-3, (2009).
-
Convergence
for a family of discrete advection-reaction operators,
F. J. Solis, F. A. Ongay, S. Jerez and M. Capistran
Computers and Mathematics with Applications
DOI :10.1016/j.camwa.2009.06.018, (2009).
-
Rapid
Perturbational Calculations for the Helmholtz Equation in two
Dimensions.
S. Y. Shim. M Capistran and Yu Chen,
Discrete and Continuous Dynamical Systems, 18, 4, pp. 627-636, (2007).
-
Prediccion
de Situaciones no Deseadas Basada en Representaciones Multimodales,
B. Lara, J.M. Rendon, M. Capistran.
IEEE Latin America transactions. Vol. 5 No. 2, pp. 104-109. (2007)
-
On the
Naturally Induced Sources for Obstacle Scattering.
P. S. Meyer, M. Capistran and Y. Chen.
Communications in Computational Physics, 1, pp. 974-983, (2006).
-
Forwards
Models and the Prediction of Undesired Situations,
B. Lara, J. M. Rendon, M. Capistran.
Research in Computing Science. Vol. 21, pp. 161-170. (2006).
-
A
Discrete Reaction-Diffusion Operator for Moving Curves and Edge
Detection,
Juan Manuel Rendon, Marcos Capistran, Bruno Lara,
Cerma , pp. 24-29, 2006.
- First
principles modeling of nonlinear incidence rates in
seasonal epidemics,
Jose M. Ponciano, Marcos A. Capistran.
PLOS Computational Biology (accepted)
|
In
Press
|
-
Towards Uncertainty Quantification in Epidemics,
Marcos A. Capistran, Andres Christen.
-
On an Inverse Problem for the Wave Equation,
Marcos A. Capistran, Miguel A. Moreles, Joaquin Pena.
-
Invasion, Extintion and Persistence of an Epidemic: Feedback from a Mathematical Model,
Marcos A. Capistran, Jose M. Ponciano.
|
|
|
|