tags:
- AI/Algorithms/BayesModel
- AI/ML/SupervisedLearning
- Mathematics/Statistics/Bayes
aliases:
- Bayesian Non-Parametrics
- BNP
Bayesian Non-Parametrics (BNP) is a Statistical approach within Bayesian inference that utilizes infinitely dimensional objects like functions or probability distributions as priors. This allows for remarkable flexibility and avoids the need for pre-specifying a rigid model structure.
BNP is a powerful framework for situations where the underlying data distribution is unknown or complex. However, the computational demands and theoretical underpinnings can be challenging for beginners.
Notes: