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Module ST3455: Modern Statistical Methods I

Credit weighting (ECTS)
5 credits
Semester/term taught
Michaelmas term 2014-15
Contact Hours
11 weeks, 3 lectures including tutorials per week
Lecturer
STATS
Learning Outcomes
On successful completion of this module students will be able to
  • Identify computational approaches to statistical inference;
  • List the advantages and disadvantages of these strategies;
  • Describe methods of computing monte carlo estimates;
  • Explain the theoretical basis for Markov Chain Monte Carlo;
  • Illustrate how resampling methods are embedded in the classical approaches to inference
Module Content
  • Survival analysis;
  • The Bootstrap and other sampling methods;
  • Simulation based inference;
  • Markov Chain Monte Carlo Methods
Module Prerequisite
ST2352
Assessment Detail
This module will be examined jointly with ST3456 in a 3-hour examination in Trinity term, except that those taking just one of the two modules will have a 2 hour examination.