Week 4: The forecaster’s toolbox

Week 4

Build the practical forecasting toolkit: benchmark methods, transformations, regression with seasonality, and evaluation.

Quiz highlight

Week 4 quiz

Due Wednesday 25 March

Quiz links switch with your selected course, so this stays as the main weekly action.

Prepare before class

Read Chapter 5 plus Section 7.4 of FPP3 so the benchmark methods and useful predictors feel familiar before class.

Seminar and workshop

Wednesday 25 March · Seminar 3:00pm to 3:50pm, workshop 4:00pm to 4:50pm · Building K Level 3, K321

Focus
  • Benchmark forecasting methods
  • Residuals, fitted values, and evaluation
  • Linear trends, dummy seasonality, and transformations
Assessment

Week 4 quiz on Wednesday 25 March

GA1 on Tuesday 24 March · Week 4 quiz on Wednesday 25 March

What you will learn this week

  • Forecasting workflow
  • Four benchmark forecasting methods that we will use for comparison
  • Linear trends, dummy seasonality
  • Fitted values, residuals
  • Forecasting using transformations
  • Forecasting with decompositions
  • Forecast evaluation

Pre-class activities

Slides for seminar

Download pdf

Seminar Code

Tutorial exercises (in class or on your own)

NoteTutorial Learning Objectives
  1. Apply and compare simple benchmark forecasting methods.
    • Able to select and implement appropriate baseline forecasting methods (e.g., NAIVE, SNAIVE, random walk with drift) for a variety of real-world time series and produce forecast plots.
  2. Evaluate forecasting performance using simple benchmark forecasting methods.
    • Produce and visualise forecasts and evaluate whether a simple benchmark provides a reasonable baseline for forecasting.
  3. Decompose and forecast with STL methods.
    • Apply STL decomposition to extract time series components.
    • Able to generate seasonally adjusted forecasts, reseasonalise results, and compare performance with simple benchmark methods while interpreting residuals.

Assignments

  • GA1 is due on Tuesday 24 March.
  • IA2 is due on Thursday 02 April.
  • GA2 is due on Tuesday 14 April.

Weekly quiz