Recent Projects

Some successful recent DPhil topics have included:  

  • Branching processes with spatial structure in population models
  • Bounds for the Normal approximation of the maximum likelihood estimator
  • Bayesian analysis of stochastic point processes for financial applications
  • Privacy-preserving statistical and machine learning methods under fully homomorphic encryption
  • Subtree transfer operations on phylogenetic networks
  • Sparse distance metric learning
  • Scalable Bayesian regression utilising marginal information
  • Graphical model selection for Gaussian conditional random fields in the presence of latent variables: theory and application to genetics
  • Computational studies of protein helix kinks
  • A Stochastic Dollo model for lateral transfer