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A short tutorial on bayesian nonparametrics
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Abstract
Bayesian nonparametric (BNP) models are prior models for infinite-dimensional parameters, such as an unknown probability measure F or an unknown regression mean function f. We review some of the most widely used BNP priors, including the Dirichlet process
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- W3080276351
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- article
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- EN
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- Americanae (AECID Library)
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