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The problem is sticking to applicability in probability/stats only gets you so far. I'm in that rut having a firm grasp of how it is applied but not being able
by nightski 5y ago
The problem is sticking to applicability in probability/stats only gets you so far. I'm in that rut having a firm grasp of how it is applied but not being able to actually apply it in the real world because the real world scenarios are all different.
It's easy to make trivial mistakes without a firm grasp of the theoretical side in my opinion. It's important to understand the implications of the choices being made and the theoretical limitations of the models being created.
- at_a_remove 5y agoI am not suggesting ditching all but applicability, I am suggesting that applicability be present. It's not an "either or."
- nightski 5y agoNeither am I. I just feel like it's not true that applicability is ignored. In fact I feel like books that demonstrate applicability are far more numerous than the theoretical ones. Set theory for example (since you mentioned it) is introduced in many probability books in an applicable fashion since probability is concerned with events which can be modeled as sets of outcomes. So while you might not find a book directly on "set theory applicability in the real world" you can find many introductions to it in a particular domain which are applicable.