Students
STAT700 – Research Frontiers in Statistics
2017 – 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
12 Wally's Walk (E7A) Office 6.34
TBD
Unit convenor
Thomas Fung
Contact via thomas.fung@mq.edu.au
12 Wally's Walk (E7A) Office 6.26
TBD
Gillian Heller
Contact via gillian.heller@mq.edu.au
12 Wally's Walk (E7A) Office 6.19
TBD
Jun Ma
Contact via jun.ma@mq.edu.au
12 Wally's Walk (E7A) Office 5.26
TBD
Georgy Sofronov
Contact via georgy.sofronov@mq.edu.au
12 Wally's Walk (E7A) Office 5.34
TBD
Barry Quinn
Contact via barry.quinn@mq.edu.au
12 Wally's Walk (E7A) Office 6.25
TBD
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|---|---|
| Credit points |
Credit points
4
|
| Prerequisites |
Prerequisites
Admission to MRes
|
| Corequisites |
Corequisites
|
| Co-badged status |
Co-badged status
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| 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:
- Be able to obtain a broad view of some research activities in various fields of statistics
- Be able to read and discuss research papers in statistics
- Be able to utilise google or other search engines to look for research papers
- Be able to recognise the general structure of research papers
- Be able to write research papers
Assessment Tasks
| Name | Weighting | Hurdle | Due |
|---|---|---|---|
| Topic 1 | 15% | No | 8 March |
| Topic 2 | 15% | No | 22 March |
| Topic 3 | 15% | No | 5 April |
| Topic 4 | 15% | No | 3 May |
| Topic 5 | 15% | No | 17 May |
| Topic 6 | 15% | No | 31 May |
| Statistics department seminar | 10% | No | TBA |
Topic 1
Due: 8 March
Weighting: 15%
"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 contribution to the discussion (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:
- Be able to obtain a broad view of some research activities in various fields of statistics
- Be able to read and discuss research papers in statistics
- Be able to utilise google or other search engines to look for research papers
- Be able to recognise the general structure of research papers
Topic 2
Due: 22 March
Weighting: 15%
"Computational statistics, including EM, mixture distribution, LASSO".
For assessment see topic 1
On successful completion you will be able to:
- Be able to obtain a broad view of some research activities in various fields of statistics
- Be able to read and discuss research papers in statistics
- Be able to utilise google or other search engines to look for research papers
- Be able to recognise the general structure of research papers
Topic 3
Due: 5 April
Weighting: 15%
"Frequency estimation"
For assessment see topic 1
On successful completion you will be able to:
- Be able to obtain a broad view of some research activities in various fields of statistics
- Be able to read and discuss research papers in statistics
- Be able to utilise google or other search engines to look for research papers
- Be able to recognise the general structure of research papers
Topic 4
Due: 3 May
Weighting: 15%
"Change point detection".
For assessment see topic 1
On successful completion you will be able to:
- Be able to obtain a broad view of some research activities in various fields of statistics
- Be able to read and discuss research papers in statistics
- Be able to utilise google or other search engines to look for research papers
- Be able to recognise the general structure of research papers
Topic 5
Due: 17 May
Weighting: 15%
"Statistical models in finance, including ARCH & GARCH models"
For assessment see topic 1
On successful completion you will be able to:
- Be able to obtain a broad view of some research activities in various fields of statistics
- Be able to read and discuss research papers in statistics
- Be able to utilise google or other search engines to look for research papers
- Be able to recognise the general structure of research papers
Topic 6
Due: 31 May
Weighting: 15%
"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:
- Be able to obtain a broad view of some research activities in various fields of statistics
- Be able to read and discuss research papers in statistics
- Be able to utilise google or other search engines to look for research papers
- Be able to recognise 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:
- Be able to obtain a broad view of some research activities in various fields of statistics
- Be able to read and discuss research papers in statistics
- Be able to utilise google or other search engines to look for research papers
- Be able to 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
None
Technologies used and required
None
Unit Schedule
|
Week |
Topic |
Lecturer |
|
1-2 |
Statistical modelling and model selection |
Gillian Heller |
|
3-4 |
Computational statistics, including EM, mixture distribution, LASSO |
Jun Ma |
|
5-6 |
Frequency estimation |
Barry Quinn |
|
7-8 |
Change-point detection |
Georgy Sofronov |
|
9-10 |
Statistical models in finance, including ARCH & GARCH models etc |
Thomas Fung |
|
11-12 |
Bio- and medical statistics, including Cox model, censorings, recurrent events, multi-states |
Ken Beath |
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_2016.html
Grade Appeal Policy http://mq.edu.au/policy/docs/gradeappeal/policy.html
Complaint Management Procedure for Students and Members of the Public http://www.mq.edu.au/policy/docs/complaint_management/procedure.html
Disruption to Studies Policy (in effect until Dec 4th, 2017): http://www.mq.edu.au/policy/docs/disruption_studies/policy.html
Special Consideration Policy (in effect from Dec 4th, 2017): https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policies/special-consideration
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://www.mq.edu.au/about_us/offices_and_units/information_technology/help/.
When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.
Changes since First Published
| Date | Description |
|---|---|
| 14/02/2017 | The learning outcomes are updated. |