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Stochastic Approximation Cut Algorithm for Inference in Modularized
  Bayesian Models

Stochastic Approximation Cut Algorithm for Inference in Modularized Bayesian Models

2 June 2020
Yang Liu
Robert J. B. Goudie
ArXivPDFHTML

Papers citing "Stochastic Approximation Cut Algorithm for Inference in Modularized Bayesian Models"

4 / 4 papers shown
Title
Semi-Modular Inference: enhanced learning in multi-modular models by
  tempering the influence of components
Semi-Modular Inference: enhanced learning in multi-modular models by tempering the influence of components
Chris U. Carmona
Geoff K. Nicholls
101
26
0
15 Mar 2020
Bayesian Inference in the Presence of Intractable Normalizing Functions
Bayesian Inference in the Presence of Intractable Normalizing Functions
Jaewoo Park
M. Haran
TPM
144
73
0
23 Jan 2017
Bayesian fractional posteriors
Bayesian fractional posteriors
A. Bhattacharya
D. Pati
Yun Yang
80
108
0
03 Nov 2016
MCMC for doubly-intractable distributions
MCMC for doubly-intractable distributions
Iain Murray
Zoubin Ghahramani
D. MacKay
93
418
0
27 Jun 2012
1