Bayesian manifold regression

From MaRDI portal
Publication:282481

DOI10.1214/15-AOS1390zbMath1341.62196arXiv1305.0617OpenAlexW2962875621MaRDI QIDQ282481

Yun Yang, David B. Dunson

Publication date: 12 May 2016

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1305.0617



Related Items

Bandit and covariate processes, with finite or non-denumerable set of arms, Kernel-based system identification with manifold regularization: a Bayesian perspective, Airflow recovery from thoracic and abdominal movements using synchrosqueezing transform and locally stationary Gaussian process regression, Symmetry tests for manifold-valued random variables, Diffusion \(K\)-means clustering on manifolds: provable exact recovery via semidefinite relaxations, Intrinsic Dimension Adaptive Partitioning for Kernel Methods, Rates of the strong uniform consistency for the kernel-type regression function estimators with general kernels on manifolds, Estimation of a regression function on a manifold by fully connected deep neural networks, Sets that maximize probability and a related variational problem, Deep nonparametric regression on approximate manifolds: nonasymptotic error bounds with polynomial prefactors, Minimax rate of distribution estimation on unknown submanifolds under adversarial losses, Unnamed Item, Unnamed Item, Longitudinal image analysis via path regression on the image manifold, Flexible Bayesian dynamic modeling of correlation and covariance matrices, Extrinsic Gaussian processes for regression and classification on manifolds, Adaptive learning rates for support vector machines working on data with low intrinsic dimension, Probabilistic integration: a role in statistical computation?, Unnamed Item, Can We Trust Bayesian Uncertainty Quantification from Gaussian Process Priors with Squared Exponential Covariance Kernel?, Minimax-optimal nonparametric regression in high dimensions, Semi-parametric Bayes regression with network-valued covariates, Gaussian Process Subspace Prediction for Model Reduction, Gaussian Process Landmarking on Manifolds


Uses Software


Cites Work