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 Jan 5 awarded Tumbleweed Dec 29 asked Iteratively minimizing sum of squared distances in R^n Dec 8 awarded Popular Question Jan 30 accepted Properties of weighted average ratio of weights Jan 29 asked Properties of weighted average ratio of weights Oct 14 comment Normal approximation to the log-normal distribution So the difference in c.d.f. between $LnN(\mu, \sigma)$ and $N(e^\mu,\sigma e^\mu)$ is bounded quite well when $\sigma/\mu << 1$, right? I wonder if the ratio of c.d.f. between normal and log-normal is also bounded (when tails become thin, the approximation that guarantees maximum absolute difference isn't as impressive). Oct 14 accepted Normal approximation to the log-normal distribution Oct 13 asked Normal approximation to the log-normal distribution Sep 30 awarded Altruist Sep 30 comment Wiener Process $dB^2=dt$ In simple words, does it make sense to say that $$dB_t^2$$ is non-stochastic? If so, is there any intuitive reason for that, which can be explained without strict definitions? Sep 26 awarded Commentator Sep 26 comment Wiener Process $dB^2=dt$ I think the answer to my bounty clarification request is that a simple calculation shows that the standard deviation of $dB^2$ is actually of the order of $dt^{3/2}$, while its expectation is of the order of $dt$. So the randomness can be ignored. Sep 22 comment Wiener Process $dB^2=dt$ @Did : probably too late to re-do this as a new question at this point - only would cause more confusion. Unless moderators agree and help. Sep 22 comment Wiener Process $dB^2=dt$ @Did : sorry I thought if I asked a new question, mods would close it as a duplicate. My questions on stackoverflow were closed a few times as duplicates, even when I tried to explain why (in my opinion) they weren't... As to the wording of the bounty, there were only a few options, and none of them fit the situation. I figured I could loosely interpret "recent changes" to mean "comments added recently" (by you). Sep 22 comment Wiener Process $dB^2=dt$ @Did : Your clarification about the "deeper result" is precisely what I was hoping to see in one of the answers... Could someone possibly provide such an answer at the most intuitive / least rigorous level that you feel is possible? Thx.. Sep 22 awarded Investor Dec 8 comment Symmetry arguments in probability I assume all that we need to formalize this is to observe that there indeed exists an argument which shows that the probability in question is a certain number, since at the very least we can simply enumerate all the cases. (BTW.. I wonder if there are any cases where the symmetry argument breaks down only because it's unclear if the required argument exists; i.e., it's possible that the question about the value of the number is unsolvable. Clearly, it can't happen with probabilities on a finite space, but perhaps in other areas?) Dec 8 accepted Symmetry arguments in probability Dec 8 comment Symmetry arguments in probability @Inquest I did a poor job explaining what I know about the deck, so I updated the question. Dec 8 revised Symmetry arguments in probability added 231 characters in body