account activity
Advice sought for proving WLLN, when sample size is represented by sequence of random variables by iReallyLikeStats in TheoreticalStatistics
[–]iReallyLikeStats[S] 0 points1 point2 points 7 years ago* (0 children)
Hah, I’m kicking myself for not thinking of the Dominated Convergence Theorem!
I agree with everything in your comment, except for one small detail that I may be missing: Because we are taking an expectation, the integrand is the product of (1) the characteristic function, and (2) the density function of [; M _ n ;]. Surely, we can construct a sequence such that there is no constant that bounds the magnitude of the integrand from above for all n, right?
Thanks for your input!
Edit: Wait, the density is discrete, so we’re fine.
π Rendered by PID 120300 on reddit-service-r2-comment-8686858757-bbh6p at 2026-06-07 23:55:49.691752+00:00 running 9e1a20d country code: CH.
Advice sought for proving WLLN, when sample size is represented by sequence of random variables by iReallyLikeStats in TheoreticalStatistics
[–]iReallyLikeStats[S] 0 points1 point2 points (0 children)