Solving a class of random non-autonomous linear fractional differential equations by means of a generalized mean square convergent power series. - Clara Burgos; Julia Calatayud Gregori; Juan Carlos Cortés; L. Villafuerte 001 (Appl. Math. Lett., 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)

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 class of 2D-random heat equations via densities. - Vicente-José Bevia; Julia Calatayud Gregori; Juan Carlos Cortés (Appl. Math. Lett., 2023)

A note on the mean-square solution of the hypergeometric differential equation with uncertainties. - Julia Calatayud Gregori (Comput. Appl. Math., 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)