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Statistics I

  • PhD special course
  • Lecturer: Rob Crittenden
  • Dates: 13/17/22 May 2013

Location

  • Dennis Sciama Building, room 3.12

Syllabus

  • Part 1: Bayesian vs Frequentist approaches (Rules of probability, Bayes theorem, Estimator theory)
  • Part 2: Describing distribution functions (moments and characteristic functions, Useful 1-d distributions)
  • Part 3: Multivariate distributions (Gaussian approximation, Fisher matrices, PCA techniques), Model selection, Monte Carlo techniques (in brief), Statistics of Fields, goodness of fit, Bootstrap and Jackknife methods

Lecture overheads

Will be attached soon.