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Kybernetika 31(4):331-335, 1995.

Minimum Entropy of Error Estimate for Multi-Dimensional Parameter and Finite-State-Space Observations

Antonín Otáhal


Abstract:

The minimum entropy of error estimate (MEEE) is studied for a finite mixture of probability densities on a finite-dimensional Euclidean space. It is proved that the MEEE coincides with the conditional expectation in case all the densities in the mixture are isotropic and unimodal; further a counter-example is given which shows that the result cannot be generalized for symmetric non-isotropic densities.


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BIB TeX

@article{kyb:1995:4:331-335,

author = {Ot\'{a}hal, Anton\'{\i}n},

title = {Minimum Entropy of Error Estimate for Multi-Dimensional Parameter and Finite-State-Space Observations},

journal = {Kybernetika},

volume = {31},

year = {1995},

number = {4},

pages = {331-335}

publisher = {{\'U}TIA, AV {\v C}R, Prague },

}


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