Presents the first closed-form normalized distributions on the flat torus with covariance structure via circula and latent models, then applies them to model joint torsion angles in proteins with SOTA likelihood and sparsity.
Minimum message length estimation of mixtures of multi- variate gaussian and von mises-fisher distributions.Machine Learning, 100:333–378
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Circula-based multivariate distributions on the flat torus, with applications in structural biology
Presents the first closed-form normalized distributions on the flat torus with covariance structure via circula and latent models, then applies them to model joint torsion angles in proteins with SOTA likelihood and sparsity.