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Found 3 papers, 0 papers with code
Zero-inflation in the Multivariate Poisson Lognormal Family
Here we introduce the Zero-Inflated PLN (ZIPLN) model, adding a multivariate zero-inflated component to the model, as an additional Bernoulli latent variable.
Variational inference for sparse network reconstruction from count data
We adopt a different stance by relying on a latent model where we directly model counts by means of Poisson distributions that are conditional to latent (hidden) Gaussian correlated variables.
Methodology
Variational inference for probabilistic Poisson PCA
A typical example is the joint observation of the respective abundances of a set of species in a series of sites, aiming to understand the co-variations between these species.
Methodology
