Behrends, E. (2000). Introduction to Markov Chains. Advanced Lectures in Mathematics. doi:10.1007/978-3-322-90157-6
Casabán, M.-C., Cortés, J.-C., Romero, J.-V., & Roselló, M.-D. (2014). Determining the First Probability Density Function of Linear Random Initial Value Problems by the Random Variable Transformation (RVT) Technique: A Comprehensive Study. Abstract and Applied Analysis, 2014, 1-25. doi:10.1155/2014/248512
Chen-Charpentier, B. M., & Stanescu, D. (2011). Biofilm growth on medical implants with randomness. Mathematical and Computer Modelling, 54(7-8), 1682-1686. doi:10.1016/j.mcm.2010.11.075
[+]
Behrends, E. (2000). Introduction to Markov Chains. Advanced Lectures in Mathematics. doi:10.1007/978-3-322-90157-6
Casabán, M.-C., Cortés, J.-C., Romero, J.-V., & Roselló, M.-D. (2014). Determining the First Probability Density Function of Linear Random Initial Value Problems by the Random Variable Transformation (RVT) Technique: A Comprehensive Study. Abstract and Applied Analysis, 2014, 1-25. doi:10.1155/2014/248512
Chen-Charpentier, B. M., & Stanescu, D. (2011). Biofilm growth on medical implants with randomness. Mathematical and Computer Modelling, 54(7-8), 1682-1686. doi:10.1016/j.mcm.2010.11.075
Chen-Charpentier, B., & Stanescu, D. (2013). Parameter estimation using polynomial chaos and maximum likelihood. International Journal of Computer Mathematics, 91(2), 336-346. doi:10.1080/00207160.2013.809069
Cortés, J.-C., Navarro-Quiles, A., Romero, J.-V., & Roselló, M.-D. (2017). Full solution of random autonomous first-order linear systems of difference equations. Application to construct random phase portrait for planar systems. Applied Mathematics Letters, 68, 150-156. doi:10.1016/j.aml.2016.12.015
Cortés, J.-C., Navarro-Quiles, A., Romero, J.-V., & Roselló, M.-D. (2017). Randomizing the parameters of a Markov chain to model the stroke disease: A technical generalization of established computational methodologies towards improving real applications. Journal of Computational and Applied Mathematics, 324, 225-240. doi:10.1016/j.cam.2017.04.040
Dorini, F. A., Cecconello, M. S., & Dorini, L. B. (2016). On the logistic equation subject to uncertainties in the environmental carrying capacity and initial population density. Communications in Nonlinear Science and Numerical Simulation, 33, 160-173. doi:10.1016/j.cnsns.2015.09.009
Hussein, A., & Selim, M. M. (2012). Solution of the stochastic radiative transfer equation with Rayleigh scattering using RVT technique. Applied Mathematics and Computation, 218(13), 7193-7203. doi:10.1016/j.amc.2011.12.088
Kindermann, S., & Papáček, Š. (2015). On Data Space Selection and Data Processing for Parameter Identification in a Reaction-Diffusion Model Based on FRAP Experiments. Abstract and Applied Analysis, 2015, 1-17. doi:10.1155/2015/859849
Mar, J., Antoñanzas, F., Pradas, R., & Arrospide, A. (2010). Los modelos de Markov probabilísticos en la evaluación económica de tecnologías sanitarias: una guía práctica. Gaceta Sanitaria, 24(3), 209-214. doi:10.1016/j.gaceta.2010.02.006
Santos, L. T., Dorini, F. A., & Cunha, M. C. C. (2010). The probability density function to the random linear transport equation. Applied Mathematics and Computation, 216(5), 1524-1530. doi:10.1016/j.amc.2010.03.001
Sericola, B. (2013). Markov Chains. doi:10.1002/9781118731543
[-]