In this paper we study the indentifiability of a class of mixture models where a finite number of one-dimensional location scale distributions is mixed with a finite number of uniform distributions on an interval. We define identifiability and we show that, under certain conditions, the afore-mentioned class of distributions is identifiable.
Identifiability for mixtures of distributions from a location-scale family with uniforms
CORETTO, Pietro;
2007
Abstract
In this paper we study the indentifiability of a class of mixture models where a finite number of one-dimensional location scale distributions is mixed with a finite number of uniform distributions on an interval. We define identifiability and we show that, under certain conditions, the afore-mentioned class of distributions is identifiable.File in questo prodotto:
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