Recently I've been trying to learn more about probability theory, stochastic process, and stochastic analysis and came upon the following set of lecture notes:
Lunardi–Miranda–Pallara, Infinite Dimensional Analysis, 2015–2016. [PDF].
The notes treat a number of topics which seem really fantastic, including Gaussian measures in infinite dimensional spaces, the Cameron–Martin space, abstract Wiener spaces, and Ornstein–Uhlenbeck operators.
However, I haven't been able to figure out exactly how these topics fit in the larger landscape of mathematics/physics, and what are the connections between them and other topics. To this end, I wanted to ask:
Question. What are some applications of these topics to other areas of mathematics (not necessarily only analysis) and physics?
For instance, I've read in the Wikipedia page for abstract Wiener space that part of the motivation behind it is making sense of (special cases of) path integrals in quantum mechanics and quantum field theory. Is there some place where I could read more about this?