The IMF study proposes a hybrid model reconciling the random walk hypothesis with medium-term predictability in exchange rate ...

Simulation research derives new methods for the design, analysis, and optimization of simulation experiments. Research on stochastic models develops and analyzes models of systems with random behavior ...

In a new paper, Nobel prize-winning economist Joseph Stiglitz attacks standard theories of economic fluctuations and argues ...

This course covers reinforcement learning aka dynamic programming, which is a modeling principle capturing dynamic environments and stochastic nature of events. The main goal is to learn dynamic ...

Optimization problems involving stochastic models occur in almost all areas of science and engineering, such as telecommunications, medicine, and finance. Their existence compels a need for rigorous ...

With their unique mixes of varied contributions from Original Research to Review Articles, Research Topics unify the most influential researchers, the latest key findings and historical advances in a ...

offer a powerful way to handle singularities and irregularities that often arise in singular stochastic partial differential equations (SPDEs), such as the Kardar-Parisi-Zhang (KPZ) equation as well ...