Classification Methods for the Serological Status Based on Mixtures of Skew-Normal and Skew-t Distributions

Gaussian mixture models are widely employed in serological data analysis to discern between seropositive and seronegative individuals. However, serological populations often exhibit significant skewness, making symmetric distributions like Normal or Student-t distributions unreliable. In this study,...

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Bibliographic Details

Published in:	Mathematics
Main Authors:	Tiago Dias-Domingues, Helena Mouriño, Nuno Sepúlveda
Format:	Article
Language:	English
Published:	MDPI AG 2024-01-01
Subjects:	finite mixture models skew-normal distribution skew-t distribution cutoff point serology
Online Access:	https://www.mdpi.com/2227-7390/12/2/217