Distributions

  • discrete
  • continuous distributions
  • their standard properties
  • common statistical measures
  • simple statistical inference
  • Methods useful for implementing Machine Learning ideas, for designing experiments, and for interpreting their results.
  • No advanced topics such as Wiener processes or the Metropolis-Hastings algorithm.
  • University of Cambridge first year statistics course ​[example sheets 1 and 2]​(https://www.dpmms.cam.ac.uk/study/IB/Statistics/)