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Joining and splitting models with Markov melding

Joining and splitting models with Markov melding

22 July 2016
Robert J. B. Goudie
A. Presanis
David J. Lunn
Daniela De Angelis
L. Wernisch
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Papers citing "Joining and splitting models with Markov melding"

4 / 4 papers shown
Title
The divide-and-conquer sequential Monte Carlo algorithm: theoretical
  properties and limit theorems
The divide-and-conquer sequential Monte Carlo algorithm: theoretical properties and limit theorems
Juan Kuntz
F. R. Crucinio
A. M. Johansen
19
10
0
29 Oct 2021
Asymptotics of cut distributions and robust modular inference using
  Posterior Bootstrap
Asymptotics of cut distributions and robust modular inference using Posterior Bootstrap
E. Pompe
Pierre E. Jacob
21
14
0
21 Oct 2021
Greater Than the Sum of its Parts: Computationally Flexible Bayesian
  Hierarchical Modeling
Greater Than the Sum of its Parts: Computationally Flexible Bayesian Hierarchical Modeling
Devin S. Johnson
Brian M. Brost
M. Hooten
26
2
0
23 Oct 2020
A numerically stable algorithm for integrating Bayesian models using
  Markov melding
A numerically stable algorithm for integrating Bayesian models using Markov melding
A. A. Manderson
Robert J. B. Goudie
29
3
0
22 Jan 2020
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