37262 Mathematical Statistics

6cp; 2hpw (on campus workshop), 2hpw (lab class); recordings of lecture material will also be available
Requisite(s): (37161 Probability and Random Variables AND (33230 Mathematics 2 OR 33290 Statistics and Mathematics for Science OR 37132 Introduction to Mathematical Analysis and Modelling)) OR (37161 Probability and Random Variables AND 26134 Responsible Evidence-Based Decisions)
These requisites may not apply to students in certain courses. See access conditions.
Anti-requisite(s): 35363 Stochastic Models

Description

When modelling real-world problems we need to deal with uncertainty, and probability and statistics provide an effective way to quantify and explain uncertainty. This subject covers more advanced topics in both probability and frequentist statistics, including goodness-of-fit tests and regression models, and explores the mathematical and conceptual foundations of these as well as their application. Finally, Bayesian statistics is introduced alongside modern procedures commonly employed for Bayesian statistics, such as Markov Chain Monte Carlo (MCMC) methods.

Detailed subject description.

Access conditions

Note: The requisite information presented in this subject description covers only academic requisites. Full details of all enforced rules, covering both academic and admission requisites, are available at access conditions and My Student Admin.