estimating K and Lambda from an extreme value distribution
Gordon D. Pusch
g_d_pusch_remove_underscores at xnet.com
Mon Feb 23 00:13:46 EST 2004
ranjeeva_r at yahoo.com (Ranjeeva) writes:
> I'm trying to fit a set of scores I get from searching a database of
> 1000 amino acid sequences with a HMM. I want to calculate a p-value
> for each matching score. My questions are
>
> a) How do you estimate the scalling factors K and Lambda to fit my
> scores (1000) to an extreme value distribution?
The obvious question would be: Why would you bother, since an HMM _directly_
yields a generative probability estimate? Simply compare the HMM probability
estimate to that of a "fiducial model," e.g., the "random sequence" model.
However, if you _insist_ on (ab)using extreme-value theory for this problem,
googling on the exact phrase "extreme value distribution" plus "fitting"
yields 1,740 hits.
-- Gordon D. Pusch
perl -e '$_ = "gdpusch\@NO.xnet.SPAM.com\n"; s/NO\.//; s/SPAM\.//; print;'
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