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Hi,
Bought the digital edition of your book and, while not too far into it as for right now, I enjoy it a lot.
I noticed some typos in the Bayesian Inference subsection, specifically for equation 1.10 and the Marginal Likelihood equation.
Given the defintion of P(X|Θ) given as the probability of X given Θ
For equation 1.10, in the book (digital) we have:
P(Θ|X) = P(Θ|X)π(Θ)/P(X) ∝ P(Θ|X)π(Θ)
I believe it should instead be:
P(Θ|X) = P(X|Θ)π(Θ)/P(X) ∝ P(X|Θ)π(Θ)
Similarly, for the Marginal Likelihood equation:
P(X) = ∫P(Θ|X)π(Θ)dΘ
P(X) = ∫P(X|Θ)π(Θ)dΘ
The text was updated successfully, but these errors were encountered:
Gah! Many thanks, that is embarrassing. A Bayesian screws up bayes rule! We’ll fix in the next printing.
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Hi,
Bought the digital edition of your book and, while not too far into it as for right now, I enjoy it a lot.
I noticed some typos in the Bayesian Inference subsection, specifically for equation 1.10 and the Marginal Likelihood equation.
Given the defintion of P(X|Θ) given as the probability of X given Θ
For equation 1.10, in the book (digital) we have:
I believe it should instead be:
Similarly, for the Marginal Likelihood equation:
I believe it should instead be:
The text was updated successfully, but these errors were encountered: