Extrinsic Gaussian processes for regression and classification on manifolds

DOI10.1214/18-BA1135zbMath1421.62075arXiv1706.08757OpenAlexW2964008022WikidataQ128879692 ScholiaQ128879692MaRDI QIDQ2316989

Pokman Cheung, Lizhen Lin, Niu Mu, David B. Dunson

Publication date: 7 August 2019

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1706.08757

zbMATH Keywords

Grassmanniansextrinsic Gaussian process (eGP)manifold-valued predictorsneuro-imagingregression on manifold

Mathematics Subject Classification ID

Gaussian processes (60G15) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Image analysis in multivariate analysis (62H35) Synthetic treatment of fundamental manifolds in projective geometries (Grassmannians, Veronesians and their generalizations) (51M35)

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