A Bayesian adaptive latent mixture model using simplex mixtures of low-rank latent score matrices and hurdle likelihoods for zero-inflated weighted brain connectomes, with posterior consistency and predictive consistency established.
Rank-normalization, folding, and localization: An improved
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A Bayesian Adaptive Latent Mixture Model for Zero-Inflated Weighted Brain Connectome Analysis
A Bayesian adaptive latent mixture model using simplex mixtures of low-rank latent score matrices and hurdle likelihoods for zero-inflated weighted brain connectomes, with posterior consistency and predictive consistency established.