JASA
Jul 31, 2025
Provably Efficient Posterior Sampling for Sparse Linear Regression via Measure Decomposition
Authors
Andrea Montanari
Yuchen Wu
Research Topics
Machine Learning
High-Dimensional Statistics
Bayesian Statistics
Paper Information
-
Journal:
Journal of the American Statistical Association -
DOI:
10.1080/01621459.2025.2537461
-
Published:
July 31, 2025 -
Added to Tracker:
Aug 01, 2025
Author Details
Andrea Montanari
AuthorYuchen Wu
AuthorResearch Topics & Keywords
Machine Learning
Research AreaHigh-Dimensional Statistics
Research AreaBayesian Statistics
Research AreaCitation Information
APA Format
Andrea Montanari
&
Yuchen Wu
(2025)
.
Provably Efficient Posterior Sampling for Sparse Linear Regression via Measure Decomposition.
Journal of the American Statistical Association
, 10.1080/01621459.2025.2537461.
BibTeX Format
@article{paper12,
title = { Provably Efficient Posterior Sampling for Sparse Linear Regression via Measure Decomposition },
author = {
Andrea Montanari
and Yuchen Wu
},
journal = { Journal of the American Statistical Association },
year = { 2025 },
doi = { 10.1080/01621459.2025.2537461 },
url = { https://www.tandfonline.com/doi/full/10.1080/01621459.2025.2537461 }
}