2 x 1-hour lectures weekly
1 x 2-hour tutorial weekly
STAT2702 - Probability
Enrolment not permitted
STAT8702 has been successfully completed
Topic description

Introduction to Stochastic Processes; Markov Chains; Fundamental concepts in Time Series; Model Stationary and Nonstationary; Model specification; Model estimation; Model diagnostics and Model forecasting in Time Series.

Educational aims

This topic aims to build upon the principles of applied probability modelling to extend to models of complex processes.

Expected learning outcomes
On completion of this topic you will be expected to be able to:

  1. Understand the concepts of stochastic processes and time series analysis in the time domain respectively
  2. Determine and apply appropriate time series models for the real life datasets
  3. Have developed skills in statistical computing of time series or stochastic processes related problems