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Thread: Course choice

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    Course choice - probability vs statistics

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    Choosing between measure theoretic probability and a graduate statistics class using Casella/Berger. I have some expectation of doing theory in the future, but I'm not all in. Which should I take? What are the important considerations?
    Last edited by therealslimkt; 08-03-2019 at 01:16 PM. Reason: more informative title

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    Re: Course choice

    If you do measure theoretic probability you could simply read Casella and Berger afterwards and learn everything. Analysis is harder to learn on your own as many books eschew motivation in favour of a definition-theorem-proof type of exposition although analysis is fundamentally an intuitive subject (the rigour is just needed to refine your intuition initially). A class can really help you develop that intuitive feel for the subject, both through the broader insights of the professor and from your peers who you would be solving problems with. This is useful EVEN if you have a sufficiently well developed intuition for undergraduate analysis

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    Re: Course choice

    To be honest both classes would be useful if you decided to pursue econometric theory. I'd say both classes are at the same level of usefulness which is minimal. If you must choose a class I'd say pick one based on qualitative aspects rather than core content.

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    Re: Course choice

    Measure theoretic probability theory will be more useful and will directly help you grasp certain concepts in first year metrics.

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    Re: Course choice

    That makes sense, thanks everyone!

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