MAT3003: BAYESIAN STATISTICS

Lecturer

In the Semester 2 2011/12, this module will be taught by

Dr K.Young

who should be contacted for further information about this module.

Announcements

The solutions to the revision questions are now on the webpage which will help with revision for the test next wedenesday and the exam. Please make sure that you have a good attempt at the questions before looking at the solutions as it is by doing that you learn the most. There are additional Bayesian questions and solutions for section 2 to help with the Bayesian part of the test on Monday. The test will cover the material up to the end of where I have lectured to, as examples of calculating posteriors are included throughout section 2. Please e-mail me if you have any questions. The first unassessed coursework is now on the website and also there is a problem sheet with solutions for you to try. The course consists of 30 lectures including a tutorial some weeks. This course changes the way that you think about statistics. It uses mathematical techniques to derive distributions of parameters, which need practice to get the ideas across. It is very important that the assignments, which I will set throughout the course are done as they are the building blocks of the material that is covered in this course, whether they are assessed or not. We will also look at some Bayesian decision theory to show how it can be used in practice.

Class Details

Assessment

• In addition to the final examination, there will be two class tests will be taken during the semester. There will be two unassessed assignments set during the course.:

• Test 1 will be taken on Monday 5th March (Week 5)
• Unassessed coursework 2 will be handed in on Monday 26th March (Week 8)
• Class test 2 will be held on Wednesday 2nd May (Week 9) The questions in the unassessed/tutorial work will help in revising for the test. It is important that you attempt these questions independently.
• The class tests will count as 25% of the marks.
• The final examination is worth 75%.

Lecture Notes and Handouts

Lecture notes and handouts will be distributed in class.

• formula sheet

Unassessed Coursework

• Coursework 1
• Coursework 2

Unassessed Assignments/Tutorial Sheets

Exercises may be handed in to me for feedback.

• Problems 1
• Problems 1 solutions
• Tutorial 1
• Tutorial 1 solutions
• Additional questions wk4
• Additional question solutions wk4
• Revision question solutions

Disclaimer

Every effort has been made to ensure the accuracy of the information contained in the University's web pages and in the associated School/Department pages. The University reserves the right to make changes to the information given. Applicants will receive additional, current information during the admissions process and on joining the University.