Abstract
The purpose of this article is to develop the technology of models based on mixtures of linear regressions and, in particular, to draw out the relevance of the EM algorithm to the associated maximum likelihood equations. A √ n-consistent starting point for the EM algorithm is presented. The data from an experiment in music perception are analyzed using this technology. Performance of the estimators are examined via both simulated and actual data sets.
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