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Apr 13, 2017 at 12:44 history edited CommunityBot
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Feb 7, 2014 at 12:13 vote accept Joshua Pritikin
Feb 7, 2014 at 3:26 history edited Joshua Pritikin CC BY-SA 3.0
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Feb 7, 2014 at 3:26 answer added Joshua Pritikin timeline score: 1
Feb 6, 2014 at 15:17 history edited whuber CC BY-SA 3.0
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Feb 5, 2014 at 1:29 comment added Arrigo Benedetti A way to derive the formulas is by Matrix Differential Calculus. If you look at Abadir, Magnus, "Matrix Algebra", Cambridge, pag. 388 you will see the expression of the 2nd order differential for the multivariate normal. If you set ${\rm d}\,\mu=0$ and ${\rm d}\,\Omega=0$ and use the identification formula at the beginning of the chapter you should be able to find expressions for the Hessians $H\, l(\mu)$ and $H\, l(\Omega)$.
Feb 5, 2014 at 0:19 comment added Joshua Pritikin The mean vector and covariance matrix.
Feb 4, 2014 at 21:58 comment added Arrigo Benedetti What parameters do you want to calculate the 2nd derivative with respect to?
Feb 4, 2014 at 3:58 history tweeted twitter.com/#!/StackStats/status/430550792807141376
Feb 4, 2014 at 2:35 review First posts
Feb 4, 2014 at 3:03
Feb 4, 2014 at 2:15 history asked Joshua Pritikin CC BY-SA 3.0