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SwISS: A scalable Markov chain Monte Carlo divide-and-conquer strategy (2023)

First Author: Vyner C

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