What kind of integral is this?
It pops up in Pattern Recognition and Machine Learning, Chapter 1.2, when the author is talking about multivariate probability densities.
$$ \int p(\vec{x}) d\vec{x} = 1$$
The author states "the integral is taken over the whole of $\vec{x}$ space."
I've heard of line integrals of vector fields and surface integrals of vector fields, are there other types of weird integrals that pop up where you are taking the integral with respect to a vector or matrix for example?
Another integral (1.45) pops up again in Chapter 1.2 when the author is talking about Bayes theorem, the posterior, likelihood and prior.
$$p(D) = \int p(D|\vec{w})p(\vec{w}) d\vec{w} $$
Is this different to the previous integral?