Distribution ensemble

A distribution ensemble, commonly referred to in the context of statistics, machine learning, and ensemble methods, generally refers to a collection of models or strategies aimed at improving predictive performance by aggregating predictions from multiple sources. The term can have different interpretations depending on the context: 1. **In Statistical Ensembles**: It often refers to a combination of different models that are trained on the same task but may utilize different algorithms, hyperparameters, or subsets of data.