3 ms·

Thats great stuff! thanks for sharing. Any hindsigths? something rigth out of your head about the subject???

• scott_s 18y ago
  Sad to say, my only real takeaway lessons were: - All statistical models have assumptions. Even if a model looks like it fits the data, make sure the data doesn't violate those assumptions. If it does, the model doesn't fit. - Causation can be inferred, with confidence, just by analyzing data. Honestly, the econometrics stuff was presented poorly. What looked like pages from a book were put up on the projector (and in some cases, I think they were book pages), and the professor would just talk through the page. Picking up anything worthwhile from his lectures was hard - he knew the class had a varied background (some CS, some philosophy, some economics, even one person from marketing), but he still went faster than my prob/stat background could keep up. The causal inference stuff was presented better, but I think the subject matter is more intuitive in general. His (the philosophy professor) math was graph theory, which I have a firmer grasp of.
  • rodrigo 18y ago
    More along the lines of philosophy of science then; great stuff!!!