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Oct 5, 2020 at 16:02 answer added Nor.Z timeline score: 1
Aug 23, 2020 at 11:56 comment added Milan Stehlik A valuable discussion on this topic can be found in our paper Stehlik, M.; Helpersdorfer Ch., Hermann,P. Supina,J. Grilo, L. M., Maidana; J.P., Fuders, F. Stehlikova, S. (2017) Financial and risk modelling with semicontinuous covariances, Information Sciences, 394-395, 246-272
Jun 5, 2020 at 11:15 answer added Ben timeline score: 8
Jun 5, 2020 at 8:50 comment added hemn1 morelany A=[4 1 0;1 0 -1 ;0 -1 8] is positive define
Dec 13, 2019 at 13:34 answer added Christian Borgelt timeline score: 3
Mar 17, 2016 at 5:09 vote accept Jingjings
Mar 3, 2016 at 0:16 comment added amoeba @Jingjings: I can see in your profile that you have never upvoted or accepted any answers; this is quite remarkable given that you have a lot of good questions with many good answers. I guess you are not really aware of how it works. The idea is that you should upvote any answer that you find useful and accept any answer that you think solves your issue. It looks like you can upvote a lot of answers and also accept some of them.
Nov 21, 2015 at 22:42 comment added Silverfish Related questions: Why does correlation matrix need to be positive semi-definite and what does it mean to be or not to be positive semi-definite?; also Is every correlation matrix positive semi-definite? and Is every covariance matrix positive definite
May 29, 2015 at 3:01 comment added kaka Every covariance matrix is Positive semi-definite. That means every covariance matrix must have non-negative eigen values. If none of the eigen value is zero then covariance matrix is additionally a Positive definite.
Sep 26, 2013 at 1:20 history edited gung - Reinstate Monica CC BY-SA 3.0
added tags; light editing; removed thanks
Apr 23, 2013 at 16:59 history tweeted twitter.com/#!/StackStats/status/326742044276031490
Apr 22, 2013 at 10:38 answer added sjm.majewski timeline score: 37
Apr 22, 2013 at 8:54 answer added Glen_b timeline score: 55
Apr 22, 2013 at 8:48 history asked Jingjings CC BY-SA 3.0