A new rectified and renormalized Fisher-Bingham model is proposed for compositional data containing zeros, achieved via square-root mapping to the sphere and a deterministic transformation on a latent Fisher-Bingham variable.
A monte carlo implementation of the em algorithm and the poor man's data augmentation algorithms
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Rectified Fisher-Bingham Model for Compositional Data with Zeros
A new rectified and renormalized Fisher-Bingham model is proposed for compositional data containing zeros, achieved via square-root mapping to the sphere and a deterministic transformation on a latent Fisher-Bingham variable.