Markov Chain

His research interests centre around stochastic processes and their broad applications and intersections with other fields such as data science, with a particular focus on Markov chains theory and stochastic algorithms driven by Markov chains

Michael Choi

Statistics and Data Science
  • Markov Chain, Stochastic Processes
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Mixed integer programming, Markov Decision Process, Data-driven service operations

Zhao Yanlu

Visiting Student
  • Service
  • integer Programming, Markov Chain
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Bayesian model selection, Bayesian nonparametrics, hierarchical models, Markov chain Monte Carlo, spatio-temporal modelling.

David Nott

Associate Professor
Statistics and Data Science
  • Bayesian models, Markov Chain
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Bayesian Statistics. Computational finance. Markov chain theory. Monte Carlo methods.

Ajay Jasra

  • Finance
  • Bayesian models, Markov Chain
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