For no practical reason whatsoever, simply curious: Say you need to use Gaussian Process Regression to model some $x,y$ relationship. Now, suppose that you're interested in integrating over some interval $[a,b]$. My questions are:
- Does this computed area have any practical application (finance, logistics, etc.)?
- Should stochastic calculus be used or is it much simpler to simply use Monte Carlo Integration?