Gaussian Mixture Identifiability from degree 6 Moments

Fuente: arXiv
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Autore principale: Blomenhofer, Alexander Taveira
Natura: Preprint
Pubblicazione: 2023
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author Blomenhofer, Alexander Taveira
author_facet Blomenhofer, Alexander Taveira
contents We resolve most cases of identifiability from sixth-order moments for Gaussian mixtures on spaces of large dimensions. Our results imply that the parameters of a generic mixture of $ m\leq\mathcal{O}(n^4) $ Gaussians on $ \mathbb R^n $ can be uniquely recovered from the mixture moments of degree 6. The constant hidden in the $ \mathcal{O} $-notation is optimal and equals the one in the upper bound from counting parameters. We give an argument that degree-4 moments never suffice in any nontrivial case, and we conduct some numerical experiments indicating that degree 5 is minimal for identifiability.
format Preprint
id arxiv_https___arxiv_org_abs_2307_03850
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Gaussian Mixture Identifiability from degree 6 Moments
Blomenhofer, Alexander Taveira
Algebraic Geometry
Statistics Theory
primary: 14N07, secondary: 15A69, 62H12
We resolve most cases of identifiability from sixth-order moments for Gaussian mixtures on spaces of large dimensions. Our results imply that the parameters of a generic mixture of $ m\leq\mathcal{O}(n^4) $ Gaussians on $ \mathbb R^n $ can be uniquely recovered from the mixture moments of degree 6. The constant hidden in the $ \mathcal{O} $-notation is optimal and equals the one in the upper bound from counting parameters. We give an argument that degree-4 moments never suffice in any nontrivial case, and we conduct some numerical experiments indicating that degree 5 is minimal for identifiability.
title Gaussian Mixture Identifiability from degree 6 Moments
topic Algebraic Geometry
Statistics Theory
primary: 14N07, secondary: 15A69, 62H12
url https://arxiv.org/abs/2307.03850