García Mora, María Belén; Santamaría Navarro, Cristina; Rubio Navarro, Gregorio; Pontones Moreno, José Luis(Elsevier, 2016-01-01)
Statistical Flowgraph Models are an efficient tool to model multi-state stochastic processes. They support both frequentist and Bayesian approaches. Inclusion of covariates is also available. In this paper we propose an ...
García Mora, María Belén; Santamaría Navarro, Cristina; Rubio Navarro, Gregorio; Pontones Moreno, José Luis(Taylor & Francis, 2014-02-01)
The study of the sum of two independent phase-type (PH)-distributed variables, each of them being asso- ciated with a Markovian process with one absorbing state, is considered in this paper. The distribution function of ...
Tello Oquendo, Luis Patricio(Universitat Politècnica de València, 2018-09-10)
En la actualidad, la Internet de las Cosas (Internet of Things, IoT) es una tecnología esencial para la próxima generación de sistemas inalámbricos. La conectividad es la base de IoT, y el tipo de acceso requerido dependerá ...
García Mora, María Belén; Santamaria Navarro, Cristina; Rubio Navarro, Gregorio(John Wiley & Sons, 2020-09-30)
[EN] A methodology to model a process in which repeated events occur is presented. The context is the evolution of non-muscle-invasive bladder carcinoma (NMIBC), characterized by recurrent relapses. It is based on the ...