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Delayed-acceptance approximate Bayesian computation Markov chain Monte Carlo: faster simulation using a surrogate model 

Krogdal, Andrea (2020-01-09)
The thesis introduces an innovative way of decreasing the computational cost of approximate Bayesian computation (ABC) simulations when implemented via Markov chain Monte Carlo (MCMC). Bayesian inference has enjoyed ...

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AuthorKrogdal, Andrea (1)Subject
ABC, MCMC, delayed acceptance, DA, surrogate model (1)
... View MoreDate Issued2020 (1)Has File(s)Yes (1)

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