Complex behaviour in many systems arises from the stochastic interactions of spatially distributed particles or agents. Stochastic reaction–diffusion processes are widely used to model such behaviour ...

Stochastic processes provide a mathematical framework to describe systems evolving under intrinsic randomness, while anomalous diffusion refers to the deviation from classical Brownian motion where ...

In this paper we consider the second-order real-valued stochastic processes x(t), t ∊ (a, b) ⊂ R, with Ex(t) = 0, for each t, and analyze some characteristic examples of such processes and the ...

Journal of Applied Probability, Vol. 9, No. 1 (Mar., 1972), pp. 202-207 (6 pages) Determination of the limiting distributions for a class of mixed-type stochastic processes with state-dependent rates ...

Markov chains and processes, random walks, stationary, independent increments, and Poisson processes. Ergodicity. Examples (e.g., diffusion, queuing theory, etc.).

This course is compulsory on the BSc in Actuarial Science and BSc in Actuarial Science (with a Placement Year). This course is available on the BSc in Data Science, BSc in Financial Mathematics and ...