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Feb 14, 2021 at 19:06 history closed user44191
Mark Wildon
Jan-Christoph Schlage-Puchta
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András Bátkai
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Jan 31, 2021 at 13:34 review Close votes
Feb 14, 2021 at 19:06
Jan 29, 2021 at 15:49 comment added lrnv Thanks a lot for the link, i always forgot these. This is my new favorite bookmark ;)
Jan 29, 2021 at 15:48 vote accept lrnv
Jan 29, 2021 at 15:47 comment added Pierre PC It is true that convergence in distribution to a constant implies convergence in probability, but IMO it is easier in this case to use that $L^2$ convergence implies convergence in probability. Carlo Beenakker's link is rather exhaustive, and as described by Will Sawin, non-negativity does not help.
Jan 29, 2021 at 14:47 comment added Carlo Beenakker • convergence in distribution to a constant implies convergence in probability, it does not imply convergence almost surely, see en.wikipedia.org/wiki/…
Jan 29, 2021 at 14:45 answer added Will Sawin timeline score: 5
Jan 29, 2021 at 14:29 history asked lrnv CC BY-SA 4.0