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In Bayesian statistics, the term 'posterior' refers to the probability distribution of a parameter conditioned on the observed data.

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Bayes version for continuous case, what does the integral mean?

In bayes version for continuous case, what does it mean to integrate with respect to $d\theta$ when $\theta$ is a vector not a a scalar value? $$p(\theta|D) = \frac{p(D|\theta)p(\theta)}{p(D)}$$ Whe …
Loai Ghoraba's user avatar