Students
STAT700 – Research Frontiers in Statistics
2015 – S1 Day
General Information
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| Unit convenor and teaching staff |
Unit convenor and teaching staff
Kenneth Beath
Contact via ken.beath@mq.edu.au
E4A 507
Wed 2-4pm
Thomas Fung
Contact via thomas.fung@mq.edu.au
E4A 530
Mon 2-4 pm
Gillian Heller
Contact via gillian.heller@mq.edu.au
E4A 533
Friday 10-12
Barry Quinn
Contact via barry.quinn@mq.edu.au
E4A535
TBA
Jun Ma
Contact via jun.ma@mq.edu.au
E4A 544
Mon 5-6pm, Thurs 5-6pm
Georgy Sofronov
Contact via georgy.sofronov@mq.edu.au
E4A 536
Friday 12-2pm
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|---|---|
| Credit points |
Credit points
4
|
| Prerequisites |
Prerequisites
Admission to MRes
|
| Corequisites |
Corequisites
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| Co-badged status |
Co-badged status
|
| Unit description |
Unit description
This unit covers selected topics on modern statistical methods including statistical modelling, computational statistics, bio- and medical statistics, statistical models in finance, modelling dependence and point processes. These topics are hot research areas of statistics. The topics will be delivered by reading research papers, discussions and presentations. Students are also required to attend department research seminars. Each topic will be taught in two weeks and then assessed by the lecturer delivering the topic.
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Important Academic Dates
Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
Learning Outcomes
On successful completion of this unit, you will be able to:
- Obtain a broad view of some research activities in various fields of statistics
- Read and discuss research papers in statistics
- Look for research papers using google or other search engines
- Understand the general structure of research papers
- Write research papers
Assessment Tasks
| Name | Weighting | Due |
|---|---|---|
| Topic 1 | 15% | 6 March |
| Topic 2 | 15% | 20 March |
| Topic 3 | 15% | April 8th |
| Topic 4 | 15% | May 6th |
| Topic 5 | 15% | June 6th |
| Topic 6 | 15% | May 20th |
| Statistics department seminar | 10% | TBA |
Topic 1
Due: 6 March
Weighting: 15%
This topic will be on "Statistical modelling and model selection". Each topic will be assessed by the lecturer of that topic. Each topic weights 15% towards the final assessment. Topic assessment is based on presentation (13%) and participation (2%). Three core criteria will be used to assess students’ work:
(1) Knowledge Development: Understanding of key ideas and concepts.
(2) Application: Ability to apply statistical concepts to actual problems.
(3) Presentation: The extent to which work has been written and/or presented in a manner consistent with accepted academic standards.
Performance in relation to each of these criteria will be assessed against established standards.
On successful completion you will be able to:
- Obtain a broad view of some research activities in various fields of statistics
- Read and discuss research papers in statistics
- Look for research papers using google or other search engines
- Understand the general structure of research papers
Topic 2
Due: 20 March
Weighting: 15%
This topic will be on "Time series and related CLT". For assessment see topic 1
On successful completion you will be able to:
- Obtain a broad view of some research activities in various fields of statistics
- Read and discuss research papers in statistics
- Look for research papers using google or other search engines
- Understand the general structure of research papers
Topic 3
Due: April 8th
Weighting: 15%
This topic will be on "Computational statistics, including EM, mixture distribution, LASSO". For assessment see topic 1
On successful completion you will be able to:
- Obtain a broad view of some research activities in various fields of statistics
- Read and discuss research papers in statistics
- Look for research papers using google or other search engines
- Understand the general structure of research papers
Topic 4
Due: May 6th
Weighting: 15%
This topic will be on "Statistical models in finance, including ARCH & GARCH models". For assessment see topic 1
On successful completion you will be able to:
- Obtain a broad view of some research activities in various fields of statistics
- Read and discuss research papers in statistics
- Look for research papers using google or other search engines
- Understand the general structure of research papers
Topic 5
Due: June 6th
Weighting: 15%
This topic will be on "Bio- and medical statistics, including Cox model, censorings, recurrent events, multi-states". For assessment see topic 1
On successful completion you will be able to:
- Obtain a broad view of some research activities in various fields of statistics
- Read and discuss research papers in statistics
- Look for research papers using google or other search engines
- Understand the general structure of research papers
Topic 6
Due: May 20th
Weighting: 15%
This topic will be on "Change-point detection". For assessment see topic 1
On successful completion you will be able to:
- Obtain a broad view of some research activities in various fields of statistics
- Read and discuss research papers in statistics
- Look for research papers using google or other search engines
- Understand the general structure of research papers
Statistics department seminar
Due: TBA
Weighting: 10%
Students are required to attend the research seminars of Statistics Department. Their attendance and performance (asking questions and participation in discussions) will be used for this assessment.
On successful completion you will be able to:
- Obtain a broad view of some research activities in various fields of statistics
- Read and discuss research papers in statistics
- Look for research papers using google or other search engines
- Write research papers
Delivery and Resources
Lectures
Lectures begin in Week 1. Students should attend one 3-hour session per week. Papers and reading materials for each topic will be made available via iLearn. Students should read these materials prior to the lectures.
Each topic will last for two weeks. In the first week, the lecturer will give a brief introduction to the materials covered in that topic and introduce students to the papers that will be discussed. Each student will be given three papers to read. However, each student will be required to present one paper in the class in the second week. Students are encouraged to participate in presentations, i.e. ask questions and involve in discussions.
Department research seminars
Students are also required to attend the research seminars of Statistics Department.
Changes from previous offerings
The topic Change-point detection replaces Point processes.
Technologies used and required
None
Unit Schedule
Week |
Topic |
Lecturer |
|
1-2
|
Statistical modelling and model selection |
Gillian Heller |
|
3-4
|
Time series and related CLT |
Barry Quinn |
|
5
|
Computational statistics, including EM, mixture distribution, LASSO |
Jun Ma |
|
6 |
No class (public holiday) |
|
|
Semester break |
||
|
7 |
Computational statistics, including EM, mixture distribution, LASSO |
Jun Ma |
|
8-9
|
Statistical models in finance, including ARCH & GARCH models etc |
Thomas Fung |
|
10-11
|
Bio- and medical statistics, including Cox model, censorings, recurrent events, multi-states |
Ken Beath |
|
12-13
|
Change-point detection |
Georgy Sofronov |
Policies and Procedures
Macquarie University policies and procedures are accessible from Policy Central. Students should be aware of the following policies in particular with regard to Learning and Teaching:
Academic Honesty Policy http://mq.edu.au/policy/docs/academic_honesty/policy.html
Assessment Policy http://mq.edu.au/policy/docs/assessment/policy.html
Grading Policy http://mq.edu.au/policy/docs/grading/policy.html
Grade Appeal Policy http://mq.edu.au/policy/docs/gradeappeal/policy.html
Grievance Management Policy http://mq.edu.au/policy/docs/grievance_management/policy.html
Disruption to Studies Policy http://www.mq.edu.au/policy/docs/disruption_studies/policy.html The Disruption to Studies Policy is effective from March 3 2014 and replaces the Special Consideration Policy.
In addition, a number of other policies can be found in the Learning and Teaching Category of Policy Central.
Student Code of Conduct
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/support/student_conduct/
Results
Results shown in iLearn, or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit ask.mq.edu.au.
Student Support
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
Learning Skills
Learning Skills (mq.edu.au/learningskills) provides academic writing resources and study strategies to improve your marks and take control of your study.
Student Services and Support
Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.
Student Enquiries
For all student enquiries, visit Student Connect at ask.mq.edu.au
IT Help
For help with University computer systems and technology, visit http://informatics.mq.edu.au/help/.
When using the University's IT, you must adhere to the Acceptable Use Policy. The policy applies to all who connect to the MQ network including students.
Changes since First Published
| Date | Description |
|---|---|
| 14/03/2015 | Topics updated. |