Generative Statistical Model Structure
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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.
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- Example(s):
- See: Discriminative Model Instance.