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Jordan Franks
Jordan Franks
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Title
Cited by
Cited by
Year
Importance sampling type estimators based on approximate marginal Markov chain Monte Carlo
M Vihola, J Helske, J Franks
Scandinavian Journal of Statistics 47 (4), 1339-1376, 2020
312020
Unbiased inference for discretely observed hidden Markov model diffusions
NK Chada, J Franks, A Jasra, KJH Law, M Vihola
arXiv preprint arXiv:1807.10259, 2018
302018
On the use of approximate Bayesian computation Markov chain Monte Carlo with inflated tolerance and post-correction
M Vihola, J Franks
Biometrika 107 (2), 381-395, 2020
162020
Importance sampling correction versus standard averages of reversible MCMCs in terms of the asymptotic variance
J Franks, M Vihola
Stochastic Processes and their Applications 130 (10), 6157-6183, 2020
132020
Importance sampling type correction of Markov chain Monte Carlo and exact approximations
M Vihola, J Helske, J Franks
Preprint 1609, v2, 2016
112016
Importance sampling and delayed acceptance via a Peskun type ordering
J Franks, M Vihola
Preprint, 2020
32020
Handbook of Approximate Bayesian Computation.
JJ Franks
Journal of the American Statistical Association 115 (532), 2100-2101, 2020
12020
On -cocycles induced by a positive definite function on a locally compact abelian group
J Franks, A Valette
Annales mathématiques Blaise Pascal 21 (1), 61-69, 2014
12014
Markov chain Monte Carlo importance samplers for Bayesian models with intractable likelihoods
J Franks
arXiv preprint arXiv:1904.05886, 2019
2019
Article [C]
J Franks, A Jasra, KJH Law, M Vihola
Markov Chain Monte Carlo Importance Samplers for Bayesian Models with …, 2019
2019
Article [A]
M Vihola, J Helske, J Franks
Markov Chain Monte Carlo Importance Samplers for Bayesian Models with …, 2019
2019
ANNALES MATHÉMATIQUES
A Banerjee
Annales mathématiques Blaise Pascal 21, 1-23, 2014
2014
Accelerating MCMC with an approximation
J Helske, M Vihola, J Franks
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Articles 1–13