The Stochastic cluster's research covers a wide range of topics in probability theory, stochastic processes, and statistics.

More generally, we are interested in the mathematics of randomness.

Some of the main research themes currently being developed in the Stochastic cluster are the following:

  • Bayesian statistics
  • Branching processes
  • Coalescent and fragmentation theory 
  • Malliavin calculus
  • Markov processes
  • Non-parametric statistics
  • Optimal control theory
  • Percolation
  • Random graphs
  • Rough path theory
  • Stein's method
  • Stochastic analysis
  • Stochastic epidemic models
  • Stochastic partial differential equations

Further information about our research interests can be found on the personal web pages of staff members.

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