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MATH 392 -- Seminar in Computational Commutative Algebra
Maximum Likelihood Estimation in a Linear Mixture Model
We wish to determine the values of
that maximize
the log-likelihood function
l =
where
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and from the data
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The log-likelihood function is
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![ln((-1/10*theta[1]+1/50*theta[2]+1/4)^10*(2/25*theta[1]-1/100*theta[2]+1/4)^14*(11/100*theta[1]-1/50*theta[2]+1/4)^15*(-9/100*theta[1]+1/100*theta[2]+1/4)^10)](images/DiaNA_17.gif)
To maximize, we apply the usual process from multivariable calculus:
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To solve the equations
we will use our Grobner basis tools:
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Of these, note that only one is in the range
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We have exactly one root in the "probability simplex"
Since
is relatively large here, the data would indicate
that this region is a CG-rich area.
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