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SD for MLE

To: s-news@lists.biostat.wustl.edu
Subject: SD for MLE
From: Ping Zhang <pingzhang@avaya.com>
Date: 20 Oct 2004 10:29:22 -0400
Organization:
I wonder if anyone out there could either your wisdom or experience about the following:

If I had to calculate MLE using generic optimization algorithms, what does one usually do with calculating standard errors? I know we could do bootstrap or jackknife. Or if one is brave enough, one could derive the 2nd  order derivatives and start from there, i.e. SE = ( -L2 )^{-1}, where L2 is the 2nd order derivative. Can't we use (L'L)^{-1} instead, where L is the 1st order derivative? Any general suggestions?


Ping Zhang | Research Scientist |
Data Analysis Research Department | Avaya Labs |
233 Mt. Airy Rd. | Room 2D14 | Basking Ridge, NJ 07920 |
http://www.research.avayalabs.com/user/pingzhang/




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