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Conference Papers Year : 2017

A method for the Generate a random sample from a finite mixture distributions

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Abstract

A finite m ixture m odel i s a c onvex c ombination of more probability density functions. By combining the properties of the individual probability density functions, mixture models are capable of approximating any arbitrary distribution. In this work we propose a method for the Generate a random sample from a finite mixture distribution. The proposed method envelope conventional models: translation, scaling and translation-scaling.
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Dates and versions

hal-02465159 , version 1 (05-02-2020)

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Dariush Ghorbanzadeh, Philippe Durand, Luan Jaupi. A method for the Generate a random sample from a finite mixture distributions. CMCGS 2017. 6th Annual International Conference on Computational Mathematics, Computational Geometry & Statistics, Mar 2017, Singapore, Singapore. ⟨10.5176/2251-1911_CMCGS17.3⟩. ⟨hal-02465159⟩
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