Vorgängerparameter

Vorgängerparameter is a German term formed from Vorgänger (predecessor, antecedent) and Parameter (parameter). In practice it denotes parameters that serve as antecedents or inputs to other quantities within a model, process, or calculation. The exact meaning depends on the field and context, and it is not a universally formalized concept.

In modeling and data analysis, Vorgängerparameter describes values that are determined by or derived from earlier states and that influence later computations. They encode historical or preceding information that affects current outcomes. This makes them central to systems with memory or temporal dependence.

In statistics and time series, related ideas appear as lagged or autoregressive effects. Coefficients attached to previous observations (for example, x_{t-1}, x_{t-2} in an AR model) can be viewed as parameters linked to Vorgängerwerte (preceding values). Thus, Vorgängerparameter capture how past data shape present behavior.

In control theory and dynamical systems, Vorgängerparameter describe how past states or inputs feed into the current state or control action. They are important for state estimation, feedback design, and recursive algorithms where history matters.

In software engineering and computational workflows, the term can describe parameters that must be determined earlier in a pipeline or inherited from a preceding configuration. This usage highlights dependency chains among parameters during setup or execution.

Etymologically, the term emphasizes historical dependence rather than a fixed, standalone value. Depending on discipline, equivalent notions include lag parameters, antecedent factors, or previous-state inputs. See also: lag, autoregression, state feedback.