Generative Statistical Model Structure

A Generative Statistical Model Structure is a statistical model structure that was produced by a generative modeling system (which accepts a generative model family).

• Context:
  • It can be used to model a Generative Stochastic Process.
  • It can range from being a Generative Classification Model, to being a Generative Ranking Model, to being a Generative Estimation Model.
  • It can be used as a classifier by applying Bayes Theorem.
  • It can be used to Generate Synthetic Data Records in the observed Input Space with similar Hidden Parameters as observed Training Records by sampling from the Model.
  • …
• Example(s):
  • a Naive Bayes Model Instance.
• See: Discriminative Model Instance.

---

---