Editor's note: As the following article is a chapter (Chapter 8) from David Koenig's book, Practical Control Engineering: Guide for Engineers, Managers, and Practitioners (MATLAB Examples) (McGraw ...

This course is compulsory on the BSc in Actuarial Science. This course is available on the BSc in Business Mathematics and Statistics, BSc in Mathematics with Economics and BSc in Statistics with ...

Various discrete-time stochastic processes have some kind of recursive or regenerative structure that can be exploited in the study of their properties. Examples include branching processes, ...

Consider a regression model for discrete-time stochastic processes, with a (partially specified) model for the conditional distribution of the response given the covariate and the past observations.

We introduce a class of discrete-time stochastic processes generated by interacting systems of reinforced urns. We show that such processes are asymptotically partially exchangeable and we prove a ...

Stochastic differential equations (SDEs) provide a foundational framework for modelling systems subject to randomness, incorporating both continuous fluctuations and abrupt changes. In recent decades ...