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ABC for climate: dealing with expensive simulators

ABC for climate: dealing with expensive simulators

11 November 2015
P. Holden
N. Edwards
J. Hensman
Richard D. Wilkinson
ArXiv (abs)PDFHTML

Papers citing "ABC for climate: dealing with expensive simulators"

11 / 11 papers shown
An Introduction to the Calibration of Computer Models
An Introduction to the Calibration of Computer Models
Richard D. Wilkinson
Christopher W. Lanyon
167
1
0
13 Oct 2023
Bayesian Emulation for Computer Models with Multiple Partial
  Discontinuities
Bayesian Emulation for Computer Models with Multiple Partial DiscontinuitiesBayesian Analysis (Bayesian Anal.), 2022
I. Vernon
Jonathan Owen
J. Carter
118
1
0
19 Oct 2022
Sequential Neural Score Estimation: Likelihood-Free Inference with
  Conditional Score Based Diffusion Models
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion ModelsInternational Conference on Machine Learning (ICML), 2022
Louis Sharrock
J. Simons
Song Liu
Mark Beaumont
DiffM
296
52
0
10 Oct 2022
Randomized Maximum Likelihood via High-Dimensional Bayesian Optimization
Randomized Maximum Likelihood via High-Dimensional Bayesian OptimizationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Valentin Breaz
Richard D. Wilkinson
204
0
0
17 Apr 2022
Surrogate-assisted distributed swarm optimisation for computationally
  expensive geoscientific models
Surrogate-assisted distributed swarm optimisation for computationally expensive geoscientific modelsComputational Geosciences (Comput. Geosci.), 2022
Rohitash Chandra
Y. Sharma
170
2
0
18 Jan 2022
History matching with probabilistic emulators and active learning
History matching with probabilistic emulators and active learning
A. Garbuno-Iñigo
F. DiazDelaO
Konstantin Zuev
126
2
0
16 Apr 2020
Considering discrepancy when calibrating a mechanistic electrophysiology
  model
Considering discrepancy when calibrating a mechanistic electrophysiology model
Chon Lok Lei
Sanmitra Ghosh
Dominic G. Whittaker
Y. Aboelkassem
K. Beattie
...
R. W. dos Santos
J. Walmsley
Keith Worden
Gary R. Mirams
Richard D. Wilkinson
215
51
0
13 Jan 2020
Batch simulations and uncertainty quantification in Gaussian process
  surrogate approximate Bayesian computation
Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computationConference on Uncertainty in Artificial Intelligence (UAI), 2019
Marko Jarvenpaa
Aki Vehtari
Pekka Marttinen
322
15
0
14 Oct 2019
Overview of Approximate Bayesian Computation
Overview of Approximate Bayesian Computation
Scott A. Sisson
Y. Fan
Mark Beaumont
190
47
0
27 Feb 2018
Known Boundary Emulation of Complex Computer Models
Known Boundary Emulation of Complex Computer Models
I. Vernon
Samuel E. Jackson
J. Cumming
156
7
0
09 Jan 2018
A Semi-Automatic Method for History Matching using Sequential Monte
  Carlo
A Semi-Automatic Method for History Matching using Sequential Monte Carlo
Christopher C. Drovandi
David J. Nott
D. Pagendam
184
4
0
09 Oct 2017
1
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