Posterior asymptotics in Wasserstein metrics on the real line

DOI10.1214/21-EJS1869zbMath1471.62281arXiv2003.05599OpenAlexW3183208998MaRDI QIDQ2233550

Minwoo Chae, Pierpaolo De Blasi, Stephen G. Walker

Publication date: 11 October 2021

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2003.05599

zbMATH Keywords

nonparametric Bayesian inferenceDirichlet process mixtureWasserstein metricsposterior consistencyposterior convergence rate

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Bayesian inference (62F15)

Related Items

Adaptive Bayesian inference for current status data on a grid

Uses Software

• Wasserstein GAN

Cites Work

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