37262 Mathematical Statistics6cp; 2hpw (online lecture), 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 Business Statistics)
These requisites may not apply to students in certain courses. See access conditions.
Anti-requisite(s): 35363 Stochastic Models
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.