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FastManly: An EM-Gradient Algorithm for Manly Mixture Models
KM

Katharine M. Clark, Paul D. McNicholas

· 1 min read

ResearcharXiv cs.LG

FastManly: An EM-Gradient Algorithm for Manly Mixture Models

arXiv:2410.00848v2 Announce Type: replace-cross Abstract: A faster implementation of mixtures of Manly transformations is proposed. This method, called FastManly, uses Newton's method for optimization in an EM gradient algorithm instead of Nelder-Mead in a traditional EM. A gradient and full Hessian are derived. Simulations show improved performance with noticeable speedups.

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This story was published by arXiv cs.LG and written by Katharine M. Clark, Paul D. McNicholas. SyncAI.news shows a preview; the complete article is on the publisher's site.

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