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Kernel Recursive ABC: Point Estimation with Intractable Likelihood

Kernel Recursive ABC: Point Estimation with Intractable Likelihood

23 February 2018
T. Kajihara
Motonobu Kanagawa
Keisuke Yamazaki
Kenji Fukumizu
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Papers citing "Kernel Recursive ABC: Point Estimation with Intractable Likelihood"

4 / 4 papers shown
Title
Copula Approximate Bayesian Computation Using Distribution Random
  Forests
Copula Approximate Bayesian Computation Using Distribution Random Forests
G. Karabatsos
32
1
0
28 Feb 2024
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for
  Likelihood-Free Inference
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference
Ayush Bharti
Masha Naslidnyk
Oscar Key
Samuel Kaski
F. Briol
36
12
0
27 Jan 2023
Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic
  Likelihood-Free Inference
Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference
Kelvin Hsu
F. Ramos
17
12
0
03 Mar 2019
Conditional mean embeddings as regressors - supplementary
Conditional mean embeddings as regressors - supplementary
Steffen Grunewalder
Guy Lever
Luca Baldassarre
Sam Patterson
A. Gretton
Massimiliano Pontil
80
143
0
21 May 2012
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