Tidy time series and forecasting in R
Introduction
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Lab sessions
Lab Session 20
Hierarchical forecasting
15:30-17:00
Date
18 September 2023
Lab sessions
Lab Session 20
Prepare aggregations of the PBS data by Concession, Type, and ATC1.
Use forecast reconciliation with the PBS data, using ETS, ARIMA and SNAIVE models, applied to all but the last 3 years of data.
Which type of model works best?
Does the reconciliation improve the forecast accuracy?
Why doesn’t the reconciliation make any difference to the SNAIVE forecasts?