SwISS: A scalable Markov chain Monte Carlo divide-and-conquer strategy (2022)
Attributed to:
Turing AI Fellowship: Probabilistic Algorithms for Scalable and Computable Approaches to Learning (PASCAL)
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Publication URI: https://onlinelibrary.wiley.com/doi/epdf/10.1002/sta4.523
Type: Journal Article/Review
Volume: 12
Parent Publication: Stat
Issue: 1