SwISS: A scalable Markov chain Monte Carlo divide-and-conquer strategy (2023)
Attributed to:
Turing AI Fellowship: Probabilistic Algorithms for Scalable and Computable Approaches to Learning (PASCAL)
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1002/sta4.523
Publication URI: http://dx.doi.org/10.1002/sta4.523
Type: Journal Article/Review
Parent Publication: Stat
Issue: 1