Change Points

Change points in time series data refer to moments or periods where the statistical properties of the data significantly change. These changes can manifest in various ways, such as shifts in the mean, variance, trend, seasonality, or other underlying patterns of the time series.

Identifying change points is essential for understanding the dynamics of the data and can be valuable for making predictions, detecting anomalies, or understanding underlying processes. Change points can occur due to various reasons, including shifts in external factors, changes in underlying systems, interventions, or regime changes.

‍