Nonparametric Estimation of Trawl Processes - Theory and Applications

Explore nonparametric estimation techniques for trawl processes through this mathematical statistics seminar presented at the Isaac Newton Institute. Learn about the theoretical foundations of trawl processes, which are continuous-time stochastic processes used to model phenomena with temporal dependencies and clustering effects. Discover advanced nonparametric estimation methods for these processes, examining their statistical properties and convergence behavior. Examine practical applications of trawl processes in various fields including finance, insurance, and environmental modeling. Understand how these estimation techniques can be implemented to analyze real-world data exhibiting complex temporal structures. Gain insights into the challenges and solutions in estimating parameters of trawl processes without making strong parametric assumptions about their underlying distributions.