The probability group works on a wide array of topics as well as motivated by diverse applications. Click on the links below for a more in-depth description of some of the activities of our current group members:
- Probabilistic models for real world networks
- Long range dependence and self-similar phenomena
- Extremal behavior of dynamical systems
- Large deviations and stochastic control
- Randomized algorithms and combinatorial statistics
- Evolutionary game theory
- Stochastic analysis and interacting particle systems
- Probabilistic models in machine learning
- Fiducial inference