A parsimonious family of multivariate Poisson-lognormal distributions for clustering multivariate count data

15 Apr 2020 Sanjeena Subedi Ryan Browne

Multivariate count data are commonly encountered through high-throughput sequencing technologies in bioinformatics, text mining, or in sports analytics. Although the Poisson distribution seems a natural fit to these count data, its multivariate extension is computationally expensive.In most cases mutual independence among the variables is assumed, however this fails to take into account the correlation among the variables usually observed in the data... (read more)

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