AI engineering glossary · Time series recsys
What is additive decomposition?
Additive decomposition: Splitting a series into trend, seasonal and remainder parts that are added together: y = trend + seasonal + remainder. It fits when the size of seasonal swings stays about the same regardless of the level of the series.
Additive decomposition: an example
Weekly footfall that goes up by about 200 people on weekends whether the base is 1,000 or 2,000.
Related terms
More Time series recsys terms
- Alternating least squares
- Anomaly detection (time series)
- ARCH model
- ARIMA
- ARIMAX
- ARMA
- Augmented Dickey-Fuller test
- Autocorrelation
Where you learn it
Additive decomposition is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.