#time series

Autocorrelation Functions for Time Series

Oct 13, 2022 Autocorrelation Functions for Time Series
This post provides some theoretical background on autocorrelation functions and how to use them to analyze time series. Furthermore, we show how to use the autocorrelation (ACF) function and the Partial Autocorrelation (PACF) functions to determine the parameters for an ARMA model.

Time series forecasting error metrics

May 5, 2022 Time series forecasting error metrics
Error measures provide a way to quantify the quality of a forecasting algorithm (e.g., performance). We briefly introduce time series and the fundamental terms of forecasting. We will then introduce the most commonly used error measures and give some examples. We provide an example of how to use error metrics in a real-life forecasting scenario.