Overview

Introduction to flexible and modern approaches to statistical modelling and statistical computing. Theory, applications and computation for linear models, generalised linear models, the Bayesian linear model, nonparametric regression using kernel smoothers and smoothing splines, nonparametric density estimation and bandwidth selection. Applications of simulation in statistical inference including Monte Carlo simulation, … For more content click the Read More button below.

Conditions for Enrolment

Prerequisite: MATH2831 or MATH2931

Delivery

In-person - Standard (usually weekly or fortnightly)

Course Outline

To access course outline please visit below link (Please note that access to UNSW Canberra course outlines requires VPN):

Fees

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)