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Ensemble Kalman filter based Sequential Monte Carlo Sampler for
  sequential Bayesian inference

Ensemble Kalman filter based Sequential Monte Carlo Sampler for sequential Bayesian inference

16 December 2020
Jiangqi Wu
Linjie Wen
P. L. Green
Jinglai Li
Simon Maskell
    BDL
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Papers citing "Ensemble Kalman filter based Sequential Monte Carlo Sampler for sequential Bayesian inference"

3 / 3 papers shown
Title
A deep learning framework for geodesics under spherical
  Wasserstein-Fisher-Rao metric and its application for weighted sample
  generation
A deep learning framework for geodesics under spherical Wasserstein-Fisher-Rao metric and its application for weighted sample generation
Yang Jing
Jia-hua Chen
Lei Li
Jianfeng Lu
25
1
0
25 Aug 2022
Component-wise iterative ensemble Kalman inversion for static Bayesian
  models with unknown measurement error covariance
Component-wise iterative ensemble Kalman inversion for static Bayesian models with unknown measurement error covariance
Imke Botha
Matthew P. Adams
Dang Khuong Tran
F. Bennett
Christopher C. Drovandi
6
4
0
06 Jun 2022
An invitation to sequential Monte Carlo samplers
An invitation to sequential Monte Carlo samplers
Chenguang Dai
J. Heng
Pierre E. Jacob
N. Whiteley
52
65
0
23 Jul 2020
1