Jordan Franks | DeepAI

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Featured Co-authors

Ajay Jasra
41 publications
Matti Vihola
13 publications
Kody Law
5 publications

research

∙ 04/11/2019

Markov chain Monte Carlo importance samplers for Bayesian models with intractable likelihoods

We consider the efficient use of an approximation within Markov chain Mo...

0 Jordan Franks, et al. ∙

research

∙ 02/01/2019

On the use of approximate Bayesian computation Markov chain Monte Carlo with inflated tolerance and post-correction

Approximate Bayesian computation allows for inference of complicated pro...

0 Matti Vihola, et al. ∙

research

∙ 02/01/2019

On the use of ABC-MCMC with inflated tolerance and post-correction

Approximate Bayesian computation (ABC) allows for inference of complicat...

0 Matti Vihola, et al. ∙

research

∙ 07/26/2018

Unbiased inference for discretely observed hidden Markov model diffusions

We develop an importance sampling (IS) type estimator for Bayesian joint...

0 Jordan Franks, et al. ∙