Population genetics, epidemics, competition, and predation are just some of the biological topics to which stochastic models can be applied. The National Institute for Mathematical and Biological ...

In this workshop, we will talk about a variety of stochastic process models, give their definitions. We will discuss the underlying assumptions and theory for the models. Then we will then explore ...

Many physical and engineering systems use stochastic processes as key tools for modelling and reasoning. A stochastic process is a probability model describing a collection of time-ordered random ...

Abstract: Stochastic hybrid systems are driven by random processes and have states that can both flow continuously and jump instantaneously. Many classes of stochastic hybrid systems, with different ...

Abstract: There is a wide range of problems in energy systems that require making decisions in the presence of different forms of uncertainty. The fields that address sequential, stochastic decision ...

School of Mathematics and Statistics, Southwest University, Chongqing, China. Stochastic differential equations (SDEs) have been intensively used to model the natural phenomena in the last decades and ...

Introduction: Accurately predicting the remaining mechanical equipment is of great significance for ensuring the safe operation of the equipment and improving economic efficiency. Methods: To ...