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 Nov 14 revised Literature investigating root finding of convex Functions added 20 characters in body Nov 8 comment Central Limit Theorem on the Circle @Sun: There actually is a convergence to WrappedNormal. Consider a circular random variable $Y:=X\ \text{mod}\ 2\pi$, where $X$ is a standard non-circular random variable with finite variance. Thus, a properly normalized sum of i.i.d. copies of $X$ converges (in distirbution) to a Gaussian random variable.Now, if you do the same with i.i.d. copies of $Y$ and append $\text{mod}\ 2\pi$ at the end of the summation scheme and you'll end up with a summation scheme converging to a wrapped normal distribution. Nov 8 asked Literature investigating root finding of convex Functions Aug 19 comment Central Limit Theorem on the Circle @D.Thomine: Not at all. In order to account for the fact, that $X_i$ is circular, we can simply use a real-valued random vector restricted to $[0, 2\pi)$. Thus, we use the classical division for real numbers. The summation scheme presented in my post obviously yields again a random vector restricted to $[0, 2\pi)$. Aug 17 awarded Editor Aug 17 comment Central Limit Theorem on the Circle I mean a similar summation scheme as in the case of the classical CLT. Added it to the original post. Aug 17 revised Central Limit Theorem on the Circle added 208 characters in body Aug 13 asked Central Limit Theorem on the Circle Mar 6 comment Strategy in an urn problem with two urns Thank you, @Henry. How would one proof analytically this strategy to be the best one and no other to be better in the above sense? Mar 6 accepted Strategy in an urn problem with two urns Mar 4 asked Strategy in an urn problem with two urns Mar 2 awarded Supporter Feb 29 awarded Scholar Feb 29 accepted Convexity of inverted sum of positive definite matrices Feb 28 awarded Student Feb 28 asked Convexity of inverted sum of positive definite matrices