A Diffusion Process Perspective on Posterior Contraction Rates for Parameters-Reference-Cited by-同舟云学术

A Diffusion Process Perspective on Posterior Contraction Rates for Parameters

Published:2024-06-20 Issue:2 Volume:6 Page:553-577
ISSN:2577-0187
Container-title:SIAM Journal on Mathematics of Data Science
language:en
Short-container-title:SIAM Journal on Mathematics of Data Science

Author:

Mou Wenlong¹,Ho Nhat²,Wainwright Martin³^ORCID,Bartlett Peter⁴,Jordan Michael⁵^ORCID

Affiliation:

1. Department of Statistical Sciences, University of Toronto, Toronto, ON, M5G 1X6, Canada.

2. Department of Statistics and Data Science, The University of Texas at Austin, Austin, TX 78712-1823 USA.

3. EECS and Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139 USA.

4. Department of EECS and Department of Statistics, University of California Berkeley, Berkeley, CA 94720 USA; and Google DeepMind, Mountain View, CA 94043 USA.

5. Department of EECS and Department of Statistics, University of California Berkeley, Berkeley, CA 94720 USA.

Funder

National Science Foundation

Office of Naval Research Global

Office of Naval Research

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Reference53 articles.

1. A simple proof of the Poincaré inequality for a large class of probability measures

2. Statistical guarantees for the EM algorithm: From population to sample-based analysis

3. The consistency of posterior distributions in nonparametric problems

4. Anisotropic function estimation using multi-bandwidth Gaussian processes

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