[j1vms]

> This is nice but I would have expected “probability at an advanced level” to mean the measure theoretic foundations of probability.

Fair point, though with no intention of being too literal, might this qualify as the difference between "Introduction to X" vs. "X"?

In case anyone else is interested: measure-theoretic probability theory "unifies the discrete and the continuous cases, and makes the difference a question of which measure is used. Furthermore, it covers distributions that are neither discrete nor continuous nor mixtures of the two." [0]

[0] https://en.wikipedia.org/wiki/Probability_theory#Measure-the...

[LeanderK]

There's usually a difference between statistics and probability theory, so I was also expecting the measure-theoretic foundations of probability (the advanced point of view). Things like "Covariance, Correlation and Regression" are not about (advanced) probability in a literal sense.

Or, to provide another perspective: The field of stochastics is bigger than just statistics. It includes probability theory as its foundation and then applies it to different domains, including but not limited to statistics.