Annika Lang, Chalmers: Random field simulation: bridging stochastic processes and their applications

Abstract: Models in natural sciences, engineering, and finance include in recent years more and more random components. Solving these models and drawing conclusions often requires simulation and knowledge of analytical properties. I will use the example of random field simulation to show how applications lead to interesting mathematical questions and how to transfer analytical results back to the original problems.​