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Prior mixtures for density estimation
The mixture approach (535)
leads in general to non-convex error functionals.
For Gaussian components
Eq. (535) results in an error functional
where
|
(538) |
and
|
(539) |
The stationarity equations for and
can also be written
Analogous equations are obtained
for parameterized .
Next: Prior mixtures for regression
Up: Non-Gaussian prior factors
Previous: Mixtures of Gaussian prior
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Joerg_Lemm
2001-01-21