Overview

This postgraduate course presents general inference theory based on maximum likelihood and on Bayes methods. Estimation, confidence set construction, and hypothesis testing are discussed within decision-theoretic framework. Computationally intensive methods such as bootstrap are also discussed and are compared to asymptotic approximations such as saddlepoint and empirical likelihood. 

Conditions for Enrolment

Enrolment in programs 5659 or 8161 or 8719 or 8750 or 8543 or 5546 or 7546 or 9372 or 9373 or 7659 or 8544

Additional Enrolment Constraints

Assumed Knowledge: 24 units of Level 3 mathematics or a degree in numerate discipline or permission of the Course Authority.

Delivery

In-person - Standard (usually weekly or fortnightly)

Please note that the above delivery information is an indication on how this course may be delivered within the year.  Delivery mode(s) for each term can be viewed on other sources such as myUNSW and class timetable site.

This Handbook is a comprehensive catalogue of our offerings and includes courses that can be taken to satisfy program requirements irrespective as to their availability for a particular year. Availability of courses is best checked using filters on this site or on the class timetable site.

Fees

TypeAmount
Commonwealth Supported Students (if applicable)$579
Domestic Students$4740
International Students$6990

Disclaimer

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Commonwealth Supported Students:

Please refer to the information about new Student Contribution band classifications. Note that grandfathering arrangements are applicable for some cohorts of students, and other special arrangements apply for a limited number of programs. The Field of Education displayed on the right-hand side of this page may be applicable in understanding which fee rate will apply to you.

Where a Commonwealth Supported fee is displayed it does not guarantee that such places are available.

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)
Pre-2019 Handbook Editions