Autoregressive Moving Average
Model AIO:AutoregressiveMovingAverage NOT_REVIEWED
A model that combines autoregressive (AR) and moving average (MA) components to represent time series data, suitable for stationary series without the need for differencing.
Ontology IRI:
https://w3id.org/aio/AutoregressiveMovingAverage
Ontology Structure & Relationships
Parent Classes
Branches
Annotations & Sources
Synonyms:
- ARMA exact
Subsets:
https://w3id.org/aio/ModelSubset
Curated AIMech Concepts Grounded to this Class
1 Concept| Curated Concept | Kind | Mapping Relation | Rationale |
|---|---|---|---|
Nonlinear autoregressive moving average model with exogenous inputs
AIMech:NonlinearAutoregressiveMovingAverageExogenousModel |
Model Families | related_match | Both use autoregressive and lagged-error structure. The pinned ARMA class describes stationary-series modeling; this record allows nonlinear functions and exogenous inputs and does not imply stationarity. The shared structure supports a related mapping, not an exact or broader-class claim. |
Import Provenance & Upstream Synchronization
Source Repo: AIO GitHub
Release Version:
aio.jsonCommit:
397851c547…License: CC-BY-4.0
Imported At: 2026-10-10T07:34:10Z
SHA256:
8f741d71408c…
Source File:
data/aio/AutoregressiveMovingAverage.yaml