multievent

Multievent is a term used across disciplines to describe frameworks in which multiple events may occur within a system, either simultaneously or in sequence, within a defined time window. In probability and statistics, a multievent process models the occurrence of a subset of a predefined event set at each time step, potentially allowing dependencies among events and across time. Such models help describe complex observation or outcome patterns where several events can be observed together or in various combinations.

In ecology, the multievent model refers to a class of capture-recapture models that use observed events to infer latent states. Developed as an extension of multistate approaches, multievent models separate the ecological process that governs survival and movement from the observation process that links latent states to observed encounters or signals. This framework accommodates imperfect detection and misclassification by explicitly modeling the mapping from hidden states to observed events.

In software engineering and systems design, multievent architectures or event-driven patterns enable handling multiple events through dispatchers and handlers, often with asynchronous processing. Such designs support the coordination of complex interactions in user interfaces, distributed systems, and real-time monitoring, by allowing events to be generated, routed, and processed in flexible, modular ways.

Applications of multievent concepts include weather monitoring with concurrent events (rain, wind, hail), network security systems generating multiple threat alerts, and any system where outcomes arise from combinations of several possible events.

See also: event-driven architecture, multistate model, hidden Markov model, capture-recapture.