Statym
Statym is a term used primarily in theoretical or speculative contexts to denote a class of online statistical state-estimation methods. It describes approaches that aim to infer hidden variables of a dynamic system from streaming data, updating estimates in near real time as new observations arrive. The word combines a reference to statistics with a model-like suffix, signaling a framework rather than a single algorithm.
Definition and scope: In Statym, a state-space perspective is common. A latent state evolves according to a
History and usage: The term has appeared mainly in educational or exploratory writings about real-time analytics
Applications and limitations: Potential uses include real-time fault monitoring, adaptive control, financial surveillance, epidemiological tracking, and
See also: state estimation, online learning, Bayesian inference, Kalman filter, particle filter, sequential analysis.