Analysis and Comparison of Probabilistic Models

Dear Colleagues,

Modelling and study of phenomena associated with probabilistic and stochastic models has been the object of analysis for a long time in various fields of application. The main reason for this is the need to understand the mechanisms of evolution of the systems in order to provide an explanation of their behaviour, allowing it to be predicted without losing sight of the possible inclusion of influences outside the variables under study that allow alter said behaviour and, with it, have the possibility of externally controlling the evolution of the phenomenon under consideration. Another line of action has been to establish mechanisms that allow the comparison between different models in order to select the one that describes and explains the phenomenon under study best.

The main objective of this Special Issue of Mathematics is to publish original works focused on the study of these types of models. Among them, we can cite stochastic processes, models derived from the theory of stochastic systems, functional data models, and linear models. Both the probabilistic study of the introduced models and the application to research areas are welcome, as well comparison studies between models that can be applied to the description of a specific phenomenon.

Prof. Francisco De Asís Torres-Ruiz
Prof. Dr. Antonio Barrera García
Guest Editors

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