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Functional regression approximate Bayesian computation for Gaussian
  process density estimation

Functional regression approximate Bayesian computation for Gaussian process density estimation

30 October 2014
G. S. Rodrigues
David J. Nott
Scott A. Sisson
ArXiv (abs)PDFHTML

Papers citing "Functional regression approximate Bayesian computation for Gaussian process density estimation"

3 / 3 papers shown
Title
A review of Approximate Bayesian Computation methods via density
  estimation: inference for simulator-models
A review of Approximate Bayesian Computation methods via density estimation: inference for simulator-models
C. Grazian
Yanan Fan
TPM
50
22
0
06 Sep 2019
Likelihood-free approximate Gibbs sampling
Likelihood-free approximate Gibbs sampling
G. S. Rodrigues
David J. Nott
Scott A. Sisson
68
25
0
11 Jun 2019
New models for symbolic data analysis
New models for symbolic data analysis
B. Beranger
Huan-xiang Lin
Scott A. Sisson
74
25
0
11 Sep 2018
1