This practical introduction to stochastic reaction-diffusion modelling is based on courses taught at the University of Oxford. The authors discuss the essence of mathematical methods which appear ...

This book will familiarize students with various applications of probability theory, stochastic modeling and random processes, using examples from all these disciplines ... for more specialized texts ...

This course is available on the BSc in Business Mathematics and Statistics ... classical risk process via Gerber's martingale approach; Markov processes: Kolmogorov equations, solution of those in ...

This course is compulsory on the MSc in Financial Mathematics and MSc in Quantitative Methods for Risk Management ... as an outside option to students on other programmes where regulations permit. A ...

In research area C, we will focus on the development and foundation of mathematical models and their approximations ... supervised learning problems. Semi-linear stochastic partial differential ...

paracontrolled distributions and point processes. For instance, stochastic analysis provides a framework for studying systems influenced by randomness, allowing us to model and predict the evolution ...

We have linked observed individual and collective behaviors to a diversity of constrained cognitive strategies, developing new mathematical and computational tools for solving, fitting, and ...