Graphs, recommendations, and time series · MLD-1165
Stationarity
A property of a stochastic process whose relevant distributional characteristics do not change over time.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Check assumptions before fitting a time-series model.
Original caveat
Strict and weak stationarity impose different requirements.
Context and aliases
Level: Intermediate. Stages: Architecture · Data · Training · Inference.
Tags: ML · DL · Time series.
Aliases: None recorded.
Related concepts
Concepts linking here
Original references
- PyTorch Geometric documentation ↗ · Consulted
- scikit-learn User Guide ↗ · Consulted
- statsmodels: time series analysis ↗ · Reference link
- Original reference URL ↗