معرفی
Bennet Ströh is a postdoctoral researcher and research associate at Imperial College London's Department of Mathematics and the Alan Turing Institute since October 2021. His work focuses on asymptotic statistical methods for continuous-time stochastic processes and random fields, with emphasis on Ambit fields and Lévy-driven processes.
Research interests include:
- Weak dependence properties of mixed moving average fields
- Limit theorems for continuous-time locally stationary processes
- Statistical inference for time-varying Lévy-driven state space models
- Non-stationary time series modeling
His publications highlight methodological advances in understanding stochastic dynamics through stationary approximations and weak dependence frameworks. Conference presentations include talks at the German Probability & Statistics Days 2021 and Bernoulli-IMS One World Symposium 2020.
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