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 othe resampling 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.