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.