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Apr 25, 2017 at 14:47 history wiki removed whuber
Apr 25, 2017 at 14:47 history made wiki Post Made Community Wiki by whuber
Apr 25, 2017 at 7:39 history edited amoeba
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Aug 8, 2013 at 10:08 comment added Gala Why would you care about statisticians being “top-of-the-line” in some abstract sense or having completed “hard” courses as opposed to being competent, knowledgeable/experienced in the particular area you need and having other skills necessary to succeed in your business (say communication or understanding your requirements)?
Oct 9, 2012 at 15:57 comment added kjetil b halvorsen There ois no necessary connect from knowing asymptotics to knowing visualization. But you need someone who really knows the theory of statistics, not only particular classes of models ... and knowing asymptotics might be one possible indicator of that.
Oct 9, 2012 at 14:43 comment added abaumann Ask them in advance to present a procedure for ranking applicants. ;)
S Oct 9, 2012 at 12:53 history suggested Bill the Lizard CC BY-SA 3.0
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Oct 9, 2012 at 12:41 review Suggested edits
S Oct 9, 2012 at 12:53
Feb 5, 2011 at 7:54 comment added John Sjölander @whuber - I'm not claiming it to be the only way, nor the best way. I'm hoping that it'll be a nice addition to an already extensive and exhaustive recruiting process that hopefully is more effective than asking the man on the street.
Feb 5, 2011 at 7:48 vote accept John Sjölander
Feb 4, 2011 at 21:08 comment added whuber @mpiktas Are you saying that knowledge of asymptotics will assure that one is excellent at visualizing data? There seems to be little to connect the two. Indeed, that's the problem with this entire question: its premise is that excellence in data mining, stats modeling, and data visualization requires "great mathematical statisticians" who have taken lots of courses. Neither one of those criteria--being mathematical or taking courses--seems to be closely related to succeeding in such positions.
Feb 4, 2011 at 19:15 comment added mpiktas this question is off-topic, so I will comment instead of answering. Ask about M-estimators. Or pick any problem from Assymptotic Statistics by van der Vaart. The only one problem with this question is that you cannot say that the interviewee is not excelent if he(she) did not answer. If on the other hand he (she) does answer, excellency is pretty much guaranteed. This is of course IMHO.
Feb 4, 2011 at 17:22 answer added posdef timeline score: 5
Feb 4, 2011 at 17:00 answer added Mike Anderson timeline score: 1
Feb 4, 2011 at 14:16 history tweeted twitter.com/#!/StackStats/status/33529301424930816
Feb 4, 2011 at 14:00 comment added John Sjölander If someone wants to re-tag this question I'd be happy. I couldn't with my low rep.
Feb 4, 2011 at 13:51 history edited John Sjölander CC BY-SA 2.5
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Feb 4, 2011 at 13:24 answer added Chris Taylor timeline score: 11
Feb 4, 2011 at 13:09 history asked John Sjölander CC BY-SA 2.5