Advanced Statistical Theory

Undergraduate | 2026

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Area/Catalogue
STAT 3005
Course ID icon
Course ID
200029
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course level icon
Course level
3
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Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
Yes
University-wide elective icon
University-wide elective course
Yes
Single course enrollment
Single course enrolment
Yes
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Note:
Course data is interim and subject to change

Course overview

The aim of the course is to delve deeply into sophisticated statistical concepts and methodologies, empowering students with advanced theoretical knowledge and analytical skills essential for tackling complex statistical problems. Through rigorous exploration of topics such as exponential families and statistical decision theory, the students will develop a nuanced understanding of the theoretical foundations of statistical inference as well as develop a comprehensive understanding of optimal decision-making strategies in uncertain environments. Additionally, students will investigate key theorems and their applications in statistical estimation. Through theoretical exploration, students will gain the expertise needed to navigate and contribute to cutting-edge research in advanced statistical theory and methodology.

  • Classical Statistical Theory
  • Bayes And Decision Theory
  • Advanced Topics

Course learning outcomes

  • Propose statistical methodologies appropriate for the problem at hand
  • Discern the assumptions which underpin validity of a particular method
  • Apply the main theoretical results to a variety of situations
  • Apply principles of statistical decision theory to a variety of problems
  • Communicate results clearly

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A