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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

15 March 2020
Chris U. Carmona
Geoff K. Nicholls
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Papers citing "Semi-Modular Inference: enhanced learning in multi-modular models by tempering the influence of components"

5 / 5 papers shown
Title
Misspecification-robust likelihood-free inference in high dimensions
Misspecification-robust likelihood-free inference in high dimensions
Owen Thomas
Raquel Sá-Leao
H. Lencastre
Samuel Kaski
J. Corander
Henri Pesonen
77
9
0
17 Feb 2025
Better Together: pooling information in likelihood-free inference
Better Together: pooling information in likelihood-free inference
David T. Frazier
Christopher C. Drovandi
David J. Nott
16
1
0
05 Dec 2022
Cutting feedback and modularized analyses in generalized Bayesian
  inference
Cutting feedback and modularized analyses in generalized Bayesian inference
David T. Frazier
David J. Nott
30
7
0
21 Feb 2022
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
The role of exchangeability in causal inference
The role of exchangeability in causal inference
O. Saarela
D. Stephens
E. Moodie
36
5
0
02 Jun 2020
1