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