- probability distribution is a real-world behavior of one or more random variables
- probability distribution model/representation
- systematically captures the behavior of a probability distribution
- can be used:
- as a Machine Learning Model
- to simulate probabilities and/or make probabilistic inferences
- can be categorized into:
- parametric vs non-parametric
- discrete vs continuous
- univariate vs multivariate
Probability Distribution Models/Representations
- Parametric Probability Distribution Models - function/model based
- Non-Parametric Probability Distribution Models - instance-based
see also: ML - Parametric vs Non-Parametric
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representations of global structures
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representations of local structures
- representations of normalized distributions:
- representations of un-normalized distributions: