modelleringkeuze
Modelleringkeuze refers to the process of selecting a modeling approach to represent a system or set of data. It encompasses choosing the model class, the underlying assumptions, the level of complexity, the estimation method, and how the model will be used for explanation or prediction. The goal is to balance accuracy, interpretability, and practicality within given constraints.
Several factors influence modelleringkeuze. Data quality and quantity, the distribution and nature of noise, and the
Common modeling paradigms encountered in modelleringkeuze include mechanistic (or process-based) models that encode domain theories, and
A typical process involves problem framing, data exploration, model specification, estimation, and validation. Model comparison uses