R Data Analysis Projects

Time series as a regression problem

Another machine learning approach is to treat time series problems as regression problems.

In the previous section, we looked at non-seasonal time series with trend and error components, and seasonal time series with an additional seasonal component. These are non-stationary aspects of the time series. The time series has to be made stationary before we use any regression methods.

Statistical stationarityA stationary time series is one whose statistical properties, such as mean, variance, autocorrelation, and so on, are all constant over time.

Let us do a simple regression exercise with our time series data. We are going to predict the age of death of a king based on the age of death of the previous king. ...