We define a class of mixture models in which a component comprises an assortment of units that are not associated with any proper distribution. The models, motivated by the EM algorithm and fitted by its simple adaptation, are illustrated on several examples with large samples, one of them about transactions of residential properties in Wellington, New Zealand, in 2006.

Mixture models with a black-hole component / N. T., Longford; D'URSO, Pierpaolo. - 77:(2010), pp. 427-435. (Intervento presentato al convegno Advances in Intelligent and Soft Computing. SMPS2010 - Soft Methods in Probability and Statistic tenutosi a Oviedo-Mieres (Asturias); Spain) [10.1007/978-3-642-14746-3-53].

Mixture models with a black-hole component

D'URSO, Pierpaolo
2010

Abstract

We define a class of mixture models in which a component comprises an assortment of units that are not associated with any proper distribution. The models, motivated by the EM algorithm and fitted by its simple adaptation, are illustrated on several examples with large samples, one of them about transactions of residential properties in Wellington, New Zealand, in 2006.
2010
Advances in Intelligent and Soft Computing. SMPS2010 - Soft Methods in Probability and Statistic
outliers; black-hole component; black-hole density; em algorithm; clustering
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Mixture models with a black-hole component / N. T., Longford; D'URSO, Pierpaolo. - 77:(2010), pp. 427-435. (Intervento presentato al convegno Advances in Intelligent and Soft Computing. SMPS2010 - Soft Methods in Probability and Statistic tenutosi a Oviedo-Mieres (Asturias); Spain) [10.1007/978-3-642-14746-3-53].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/207587
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