This module runs in Term 1 and is usually taken by PhD students in the Warwick Centre for Doctoral Training in Mathematics and Statistics.
Other PhD students should consult the module leader if they are interested in taking this module.
This module is not available to undergraduate or postgraduate taught students.
The aims of this module are to provide a basic introduction to ideas of formal statistical inference for students with a strong mathematical background and undergraduate performance. The course will provide all students with a basic background level of knowledge of inference and, others with a platform to use and research in Statistics within their PhD. The course will reflect the modern trends in Statistical Inference towards powerful computationally intensive methods.
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
Statistical distribution theory
Methods of inference
Maximum likelihood estimation
Elements of Bayesian Inference
Decision Theory Inference
Basic simulation methodologies
Markov Chain Monte-Carlo methods
By the end of the module, students should be able to:
View reading list on Talis Aspire
TBC
TBC
Type | Required |
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Lectures | 30 sessions of 1 hour (20%) |
Private study | 120 hours (80%) |
Total | 150 hours |
Weekly revision of lecture notes and materials, wider reading, practice exercises and preparing for examination.
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Weighting | Study time | |
---|---|---|
Assessed exercises | 50% | |
3 x assessed exercises due at evenly spaced intervals during term 1. |
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Oral examination | 50% | |
The oral examination will take place in the week following the end of term 1. |
Written feedback will be provided for the problem sets and oral examination within 20 working days.
This module is Core for:
This module is Core optional for:
This module is Optional for:
This module is Option list A for:
This module is Option list B for:
This module is Option list C for: