Estimating Densities with Non-Linear Support by Using Fisher–Gaussian Kernels

DOI10.1111/rssb.12390OpenAlexW3047888393MaRDI QIDQ5087174

Didong Li, Minerva Mukhopadhyay, David B. Dunson

Publication date: 8 July 2022

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1907.05918

zbMATH Keywords

Markov chain Monte Carlo methodskernel density estimationmixture modelspherical datamanifold learningBayesian mixture modelsvon Mises-Fisher density

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Bayesian semiparametric multivariate density deconvolution via stochastic rotation of replicates

This page was built for publication: Estimating Densities with Non-Linear Support by Using Fisher–Gaussian Kernels