Modeling Chickenpox Dynamics with a Discrete Time Bayesian Stochastic Compartmental Model. - Ana Corberán-Vallet; Francisco-José Santonja; Marc Jornet-Sanz; Rafael-Jacinto Villanueva (Complex., 2018)

Improving the approximation of the first and second order statistics of the response process to the random Legendre differential equation. - Julia Calatayud Gregori; Juan Carlos Cortés; Marc Jornet-Sanz (CoRR, 2018)

On the Legendre differential equation with uncertainties at the regular-singular point 1: Lp(Ω) random power series solution and approximation of its statistical moments. - Julia Calatayud Gregori; Juan Carlos Cortés; Marc Jornet (Comput. Math. Methods, 2019)

Uncertainty quantification for nonlinear difference equations with dependent random inputs via a stochastic Galerkin projection technique. - Julia Calatayud Gregori; Juan Carlos Cortés; Marc Jornet (Commun. Nonlinear Sci. Numer. Simul., 2019)

Combining Polynomial Chaos Expansions and the Random Variable Transformation Technique to Approximate the Density Function of Stochastic Problems, Including Some Epidemiological Models. - Julia Calatayud Gregori; Benito M. Chen-Charpentier; Juan Carlos Cortés; Marc Jornet-Sanz (Symmetry, 2019)

On a stochastic logistic population model with time-varying carrying capacity. - Julia Calatayud Gregori; Juan Carlos Cortés; Fábio Antonio Dorini; Marc Jornet-Sanz (Comput. Appl. Math., 2020)

Second order linear differential equations with analytic uncertainties: Stochastic analysis via the computation of the probability density function. - Marc Jornet; Julia Calatayud Gregori; Olivier P. Le Maître; Juan Carlos Cortés (J. Comput. Appl. Math., 2020)

Extending the study on the linear advection equation subject to stochastic velocity field and initial condition. - Julia Calatayud Gregori; Juan Carlos Cortés; Fábio Antonio Dorini; Marc Jornet (Math. Comput. Simul., 2020)

Beyond the hypothesis of boundedness for the random coefficient of the Legendre differential equation with uncertainties. - Marc Jornet (Appl. Math. Comput., 2021)

Exact solution to a multidimensional wave equation with delay. - Marc Jornet (Appl. Math. Comput., 2021)

On the generalized logistic random differential equation: Theoretical analysis and numerical simulations with real-world data. - Vicente-José Bevia; Julia Calatayud Gregori; Juan Carlos Cortés; Marc Jornet-Sanz (Commun. Nonlinear Sci. Numer. Simul., 2023)

Probabilistic analysis of a general class of nonlinear random differential equations with state-dependent impulsive terms via probability density functions. - Vicente-José Bevia; Juan Carlos Cortés; Marc Jornet; Rafael J. Villanueva (Commun. Nonlinear Sci. Numer. Simul., 2023)

On the random fractional Bateman equations. - Marc Jornet (Appl. Math. Comput., 2023)

Generalized polynomial chaos expansions for the random fractional Bateman equations. - Marc Jornet (Appl. Math. Comput., 2024)

Power-series solution of the L-fractional logistic equation. - Marc Jornet; Juan J. Nieto 001 (Appl. Math. Lett., 2024)

Power-series solutions of fractional-order compartmental models. - Marc Jornet (Comput. Appl. Math., 2024)

Finite-dimensional probability distributions in the random Burgers-Riemann problem. - Marc Jornet (Commun. Nonlinear Sci. Numer. Simul., 2024)

Inverse uncertainty quantification for stochastic systems by resampling. Applications to modeling of alcohol consumption and infection by HIV. - Julia Calatayud Gregori; Marc Jornet; Carla M. A. Pinto (Commun. Nonlinear Sci. Numer. Simul., 2025)

A dynamical mathematical model for crime evolution based on a compartmental system with interactions. - Julia Calatayud; Marc Jornet; Jorge Mateu 001 (Int. J. Comput. Math., 2025)

The Peano-Sard theorem for fractional operators with Mittag-Leffler kernel and application in classical numerical approximation. - Marc Jornet; Juan J. Nieto 001 (J. Comput. Appl. Math., 2025)

A general Volterra integral problem of Riemann-Liouville type. - Marc Jornet (Comput. Appl. Math., 2025)

On partial Caputo fractional models. - Julia Calatayud; Marc Jornet; Carla M. A. Pinto (Comput. Appl. Math., 2025)