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This œuvre, Computing Boundaries in Local Mixture Models, by Vahed Maroufy is licensed under a Creative Commons Attribution-ShareAlike 4.0 International license.

Computing Boundaries in Local Mixture Models


Computing Boundaries in Local Mixture Models
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Local mixture models give an inferentially tractable but still flexible alternative to general mixture models. Their parameter space naturally includes boundaries; near these the behaviour of the likelihood is not standard. This paper shows how convex and differential geometries help in characterising these boundaries. In particular the geometry of polytopes, ruled and developable surfaces is exploited to develop efficient inferential algorithms.
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Computing Boundaries in Local Mixture Models
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