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Apr 13, 2017 at 12:44 history edited CommunityBot
replaced http://stats.stackexchange.com/ with https://stats.stackexchange.com/
Sep 25, 2015 at 19:04 comment added cardinal @Silverfish: Thanks for the heads-up. Since commenters don't receive notification of subsequent edits, things can get out-of-date. Usually, this is of little consequence, but I agree here that the prominence of that comment is pretty misleading. I've deleted it. Cheers.
Sep 25, 2015 at 18:44 comment added Alecos Papadopoulos @Silverfish Cardinal's comment indeed refers to my initial answer (the part under the grey bar near the end of the post). Exactly because this initial answer generated comments that are still present, I have left it un-deleted, below the new answer. I added something on the grey bar to help a bit with the confusion.
Sep 25, 2015 at 18:43 history edited Alecos Papadopoulos CC BY-SA 3.0
Added administrative clarification
Sep 25, 2015 at 17:17 comment added Silverfish @cardinal If you no longer believe the current answer to be incorrect, perhaps you could delete your comment, or post a fresh comment to confirm that the current answer no longer is incorrect? From a reader's point of view, having an upvoted answer saying that an answer is incorrect is confusing (and forces one to start checking the edit chronologies).
Jan 31, 2014 at 19:14 history edited Alecos Papadopoulos CC BY-SA 3.0
typos
Jan 31, 2014 at 17:53 history edited Alecos Papadopoulos CC BY-SA 3.0
deleted 3 characters in body
Jan 31, 2014 at 16:03 history edited Alecos Papadopoulos CC BY-SA 3.0
Offered a new answer, responding to comments
Jan 31, 2014 at 13:39 comment added KOE I put an example of convergence in probability with always positive, finite variance in my answer here as well.
Jan 31, 2014 at 11:22 comment added cardinal The example I gave in the comment linked to in my note to the OP has finite limiting variance. Consistency deals with convergence in probability, which you've correctly noted. But for the variance to go to zero, we have to control the tails (too). This is related to the relationship between $L_p$ convergence and convergence in probability.
Jan 31, 2014 at 7:13 comment added Alecos Papadopoulos @cardinal Thanks for the intervention, and I will be happy to correct it. Can I have a hint on how could I start looking for a consistent estimator whose variance converges to a finite number? (The infinite/undefined variance case is a known case and should have been mentioned -but the finite non-zero case is the really interesting one). Or did I describe the property of consistency wrongly?
Jan 31, 2014 at 0:19 history answered Alecos Papadopoulos CC BY-SA 3.0