My question is related to this one: Differences between “methods”, “methodologies” and “paradigms”
In lectures, we learned
In statistical practice, there are two main schools of thought or
paradigms:
- frequentist
- Bayesian
Moreover, on the shelf we have books with titles like Decision Analysis: A Bayesian Approach or Machine Learning: A Bayesian and Optimization Perspective
I was wondering what are the differences between Approach, Perspective, and Paradigms?
Best Answer
"Approach" implies a hands-on style. "Perspective" is more theoretical. "Paradigm" is similar to perspective, but implies that some specific model will be used, i.e., it will be a "systematic" perspective.
Sometimes these three terms are used interchangeably.
Source: my experience as a CS/Math undergrad.