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Introducing prior information in Weighted Likelihood Bootstrap with
  applications to model misspecification
v1v2 (latest)

Introducing prior information in Weighted Likelihood Bootstrap with applications to model misspecification

26 March 2021
E. Pompe
ArXiv (abs)PDFHTML

Papers citing "Introducing prior information in Weighted Likelihood Bootstrap with applications to model misspecification"

4 / 4 papers shown
Title
BOB: Bayesian Optimized Bootstrap for Uncertainty Quantification in
  Gaussian Mixture Models
BOB: Bayesian Optimized Bootstrap for Uncertainty Quantification in Gaussian Mixture Models
Santiago Marin
Bronwyn Loong
A. Westveld
66
0
0
07 Nov 2023
Robust Bayesian Inference for Simulator-based Models via the MMD
  Posterior Bootstrap
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap
Charita Dellaporta
Jeremias Knoblauch
Theodoros Damoulas
F. Briol
80
45
0
09 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
80
14
0
21 Oct 2021
Nonparametric posterior learning for emission tomography with multimodal
  data
Nonparametric posterior learning for emission tomography with multimodal data
F. Goncharov
Éric Barat
T. Dautremer
MedIm
42
0
0
29 Jul 2021
1