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Unbiased and Consistent Nested Sampling via Sequential Monte Carlo
We introduce a new class of sequential Monte Carlo methods called Nested...
05/10/2018 ∙ by Robert Salomone, et al. ∙
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Approximating the Likelihood in Approximate Bayesian Computation
This chapter will appear in the forthcoming Handbook of Approximate Baye...
03/18/2018 ∙ by Christopher C Drovandi, et al. ∙
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ABC and Indirect Inference
This chapter will appear in the forthcoming Handbook of Approximate Baye...
03/06/2018 ∙ by Christopher C Drovandi, et al. ∙
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New Insights into History Matching via Sequential Monte Carlo
The aim of the history matching method is to locate non-implausible regi...
10/09/2017 ∙ by Christopher C Drovandi, et al. ∙
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ABC model selection for spatial max-stable models applied to South Australian maximum temperature data
Max-stable processes are a common choice for modelling spatial extreme d...
10/09/2017 ∙ by Xing Ju Lee, et al. ∙
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