Models suitable for statistical inference in Markov chains are considered featuring various forms of stochastic entry, including Poisson, renewable binomial pool, uncertain pool size, negative ...

Markov decision processes (MDPs) and stochastic control constitute pivotal frameworks for modelling decision-making in systems subject to uncertainty. At their core, MDPs provide a structured means to ...

This is a preview. Log in through your library . Journal Information Journal of Applied Probability and Advances in Applied Probability have for four decades provided a forum for original research and ...

Metastability and random walks constitute central paradigms in the study of stochastic processes, providing deep insights into transient phenomena and long-term dynamics in complex systems.

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