Bayesian nonparametric inference on the Stiefel manifold

DOI10.5705/ss.202016.0017zbMath1362.62071arXiv1311.0907OpenAlexW2963686053MaRDI QIDQ2977515

Unnamed Author, Lizhen Lin, David B. Dunson

Publication date: 18 April 2017

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1311.0907

zbMATH Keywords

Stiefel manifoldposterior consistencyBayesian nonparametricorthonormal matriceskernel mixturematrix Langevinvon Mises Fisher

Mathematics Subject Classification ID

Density estimation (62G07) Estimation in multivariate analysis (62H12) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Related Items (5)

Asymptotic Analysis of a Matrix Latent Decomposition Model ⋮ Multivariate and regression models for directional data based on projected Pólya trees ⋮ Conjugate priors and posterior inference for the matrix Langevin distribution on the Stiefel manifold ⋮ Bayesian model comparison with un-normalised likelihoods ⋮ Extrinsic Gaussian processes for regression and classification on manifolds

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