Variational Bayes
The document provides an overview of variational Bayes (VB) and its implementation in the VBmix R package. VB approximates intractable posterior distributions by introducing a tractable distribution and minimizing its distance from the true posterior. VBmix uses VB to perform approximate Bayesian inference for mixtures of Gaussians, providing fast inference compared to exact methods.Read less
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CRAN - Package VBmix
vbgmm: Variational Bayesian Gaussian mixture model (VB-GMM) in TargetScore: TargetScore: Infer microRNA targets using microRNA-overexpression data and sequence information
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