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Minimum mean square error estimator

In statistics and signal processing, a minimum mean square error estimator (MMSE estimator) is an estimation method which minimizes the mean square error (MSE), which is a common measure of estimator quality, of the fitted values of a dependent variable. In the Bayesian setting, MMSE more specifically refers to estimation with quadratic loss function. In…

Linear MMSE estimator, Properties & Definition

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Linear MMSE estimator

Linear MMSE estimator for linear observation process

Sequential linear MMSE estimation

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Minimum mean square error estimator

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Edges51
Triples4
Avg. degree1.96
Density0.038462
Components1

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displaystyle estimator linear mean mmse hat matrix given estimate scalar error estimation thus sigma covariance expression vector form since operatorname

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SubjectPredicateObjectConfidenceSrc
the Wienerinstance ofIt has given rise to many popular estimators0.80text
speechinstance ofor the statistics of an actual random signal0.80text
the stochastic gradient descent methodsinstance ofAnother computational approach is to directly seek the minima of the MSE using techniques0.80text
Gauss elimination methodinstance ofThe matrix equation can be solved by well known methods0.80text

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