Data driven Dirichlet sampling on manifolds

DOI10.1016/j.jcp.2021.110583OpenAlexW3121003033WikidataQ118367939 ScholiaQ118367939MaRDI QIDQ2132677

Thiago G. Ritto, Luan S. Prado

Publication date: 28 April 2022

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2101.00947

zbMATH Keywords

Dirichlet distributionrotordynamicsdeep learningjournal bearingdata drivensampling on manifolds

Mathematics Subject Classification ID

Statistics (62-XX) Multivariate analysis (62Hxx) Classical differential geometry (53Axx)

Uses Software

• alr3

Cites Work

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• Data-driven probability concentration and sampling on manifold
• Elementary Differential Geometry
• 10.1162/jmlr.2003.3.4-5.993
• Normal-Bundle Bootstrap
• Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data
• Convex Analysis

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