Types of change
This is the landing page for topics related to analyzing different types changes that may characterize your process of interest.
Statistical models may incorporate different temporal patterns, such as lasting changes, reversible changes, or no changes (i.e., mere fluctuations). Which model you choose should be informed by the expected temporal pattern of your process, ensuring that it appropriately captures the dynamics—such as stability, change, or cyclical behavior—over time.
Below we have specified multiple articles where you can read more about modeling different types of change.
Think more about types of change
Models that account for changes in processes that are lasting, for instance, processes that are determined by development or decline.
- [Growth curves]
- [Change point analysis]
Models that account for changes in processes that are reversible, for instance, when a process is characterized by switches back and forth between different regimes.
- [Sine wave]
- [Threshold autoregressive models]
- [Regime switching models]
- [Time-varying models]
Models that account for fluctuations in the absence of structural changes in processes, for instance, a self-regulation process.
- [Autoregressive model]
- [Autoregressive moving average model]
- [Unit root]