Joining and splitting models with Markov melding

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Joining and splitting models with Markov melding

22 July 2016

Robert J. B. Goudie

Daniela De Angelis

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Papers citing "Joining and splitting models with Markov melding"

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Title
Scalable Semi-Modular Inference with Variational Meta-Posteriors Chris U. Carmona Geoff K. Nicholls 51 11 0 01 Apr 2022
The divide-and-conquer sequential Monte Carlo algorithm: theoretical properties and limit theorems Juan Kuntz F. R. Crucinio A. M. Johansen 83 11 0 29 Oct 2021
Asymptotics of cut distributions and robust modular inference using Posterior Bootstrap E. Pompe Pierre E. Jacob 80 14 0 21 Oct 2021
Divide-and-Conquer Fusion Ryan S.Y. Chan M. Pollock A. M. Johansen Gareth O. Roberts 47 2 0 14 Oct 2021
Greater Than the Sum of its Parts: Computationally Flexible Bayesian Hierarchical Modeling Devin S. Johnson Brian M. Brost M. Hooten 64 3 0 23 Oct 2020
A numerically stable algorithm for integrating Bayesian models using Markov melding A. A. Manderson Robert J. B. Goudie 53 3 0 22 Jan 2020
Distributed Computation for Marginal Likelihood based Model Choice Alexander K. Buchholz Daniel Ahfock S. Richardson FedML 66 5 0 10 Oct 2019
MultiBUGS: A parallel implementation of the BUGS modelling framework for faster Bayesian inference Robert J. B. Goudie R. Turner Daniela De Angelis Andrew Thomas 27 3 0 11 Apr 2017