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A probability provides a quantitative description of the likely occurrence of a particular event.
4
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Meaning of NOT having a distribution on data [duplicate]
In statistics and machine learning, a common starting point is to assume some unknown distribution $\mathbb{P}$ on the cartesian product $\mathcal{X} \times \mathcal{Y}$ of input space and output spac …
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When to stop the chain of priors in Bayesian hierarchical models?
From Wkipedia's article on hyperprior:
In Bayesian statistics, a hyperprior is a prior distribution on a hyperparameter, that is, on a parameter of a prior distribution.
There will be some parameter …