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Dec 9 at 11:40 comment added mlofton UPDATE AND CORRECTION: Here is a correction for how I described the BM generation in the answer. Karl Sigman explains in his note that, once you generate the normally distributed $Z_i$, you add them up but you add them in a more complex way than I described. Otherwise, you won't obtain the properties of BM when you try to generate it. columbia.edu/~ks20/4404-Sigman/4404-Notes-sim-BM.pdf Apologies for correction.
May 5, 2019 at 14:07 comment added mlofton and thanks to whoever edited my answer.
May 5, 2019 at 14:06 history edited mlofton CC BY-SA 4.0
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May 5, 2019 at 14:04 comment added mlofton don't worry about upvote. I'm. glad to help. If you take a math-stat class or a stochastic processes class first, all of this will be more easily understood..sometimes difference in background makes things more difficult. try to check out Hamilton's text. It's mostly time-series but there's a small section on brownian motion derivation and it's not so difficult math-wise.
May 5, 2019 at 11:49 comment added recon I really want to upvote your answer but sadly I dnt even have 15 points to do that :(
May 5, 2019 at 11:48 comment added recon Thank you so much! (so frustrated taking a stat department course...barely know anything lol, anyway thanks again! you make this much more ezier!)
May 5, 2019 at 11:45 vote accept recon
May 5, 2019 at 5:28 history edited mlofton CC BY-SA 4.0
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May 5, 2019 at 5:23 history answered mlofton CC BY-SA 4.0