ST912 Statistical Frontiers
Please note that all lectures for Statistics modules taught in the 2022-23 academic year will be delivered on campus, and that the information below relates only to the hybrid teaching methods utilised in 2021-22 as a response to Coronavirus. We will update the Additional Information (linked on the right side of this page) prior to the start of the 2022/23 academic year.
Throughout the 2021-22 academic year, we will be adapting the way we teach and assess your modules in line with government guidance on social distancing and other protective measures in response to Coronavirus. Teaching will vary between online and on-campus delivery through the year, and you should read the additional information linked on the right hand side of this page for details of how this will work for this module. The contact hours shown in the module information below are superseded by the additional information. You can find out more about the University’s overall response to Coronavirus at: https://warwick.ac.uk/coronavirus.
All dates for assessments for Statistics modules, including coursework and examinations, can be found in the Statistics Assessment Handbook at http://go.warwick.ac.uk/STassessmenthandbook
ST912-15 Statistical Frontiers
Introductory description
This module runs in term 2 and is usually taken by PhD students in the Warwick Centre for Doctoral Training in Mathematics and Statistics.
Each topic will be presented by a different lecturer, who is an expert in the research area. The lectures are intended to introduce a particular research topic, provide a short overview and stimulate your interest in this particular area. Taken as a whole, the module gives a (necessarily partial and incompete) idea of the breadth of the research interests and expertise within the Department and should thus help you discover the supervisory capacity that is available to you.
Module aims
The aims of this module are to provide a snapshot of the frontiers of statistical inference research in a broad range of different areas, thus giving the students an awareness of the nature, breadth and current limitations of statistics research.
Outline syllabus
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.
Each lecturer will choose a particular topic that links in with their research interests and expertise, give some background and give an overview of the state of the art in the area. Each topic will have a separate lecturer who will be an expert in the research area.
Learning outcomes
By the end of the module, students should be able to:
- Understand tools and techniques used in modern research in probability and mathematical finance
- By the end of the course students should be able to understand how to apply Statistical tools in various applied problems.
- By the end of the course students should be able to compare the potency of different statistical approaches.
- Understand some of the current research ideas in Statistics
Research element
The topics are on typically about the research frontier. Students will be asked to write short essays that could be considered a first introduction into research in these areas. They will also give a short research presentation on one topic. All of these topics are selected from the areas presented by the lecturers in the module, and are chosen by the students.
Subject specific skills
Having a thorough understanding of the principles of Statistical analysis and Probability.
Transferable skills
Being able to use Statistics and Probability in a variety of applied contexts.
Study time
| Type | Required |
|---|---|
| Lectures | 27 sessions of 1 hour (18%) |
| Private study | 123 hours (82%) |
| Total | 150 hours |
Private study description
Weekly revision of lecture notes and materials, wider reading, practice exercises and preparing for examination.
Costs
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Assessment group A1
| Weighting | Study time | Eligible for self-certification | |
|---|---|---|---|
| Oral examination | 50% | No | |
|
The oral examination will take the form of a short (15-20 minutes) presentation on a topic of your choice, followed by questions. This will take place during term 3. |
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| Coursework | 50% | No | |
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The coursework component will be assessed in the form of THREE short essays, each of which should be a maximum of 5 pages. |
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Feedback on assessment
Written feedback will be provided for the problem sets and oral examination within 20 working days.
Courses
This module is Core optional for:
- Year 1 of RSTA-G4P0 Postgraduate Research Statistics
- Year 1 of TMAA-G3G2 Postgraduate Taught Mathematics and Statistics
This module is Optional for:
- Year 1 of TMAA-G1PD Postgraduate Taught Interdisciplinary Mathematics (Diploma plus MSc)
- Year 1 of TMAA-G1P0 Postgraduate Taught Mathematics
- Year 1 of TMAA-G1PC Postgraduate Taught Mathematics (Diploma plus MSc)
- Year 1 of TSTA-G4P1 Postgraduate Taught Statistics
This module is Option list A for:
- Year 1 of RMAA-G1PG Postgraduate Research Mathematics of Systems
This module is Option list B for:
- Year 1 of TMAA-G1P0 Postgraduate Taught Mathematics
This module is Option list C for:
-
TMAA-G1PD Postgraduate Taught Interdisciplinary Mathematics (Diploma plus MSc)
- Year 1 of G1PD Interdisciplinary Mathematics (Diploma plus MSc)
- Year 2 of G1PD Interdisciplinary Mathematics (Diploma plus MSc)
-
TMAA-G1PC Postgraduate Taught Mathematics (Diploma plus MSc)
- Year 1 of G1PC Mathematics (Diploma plus MSc)
- Year 2 of G1PC Mathematics (Diploma plus MSc)