Stochastic Modelling
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- 2021
-
Mark
Sequential Neural Posterior and Likelihood Approximation
2021)(
- Working paper/Preprint › Preprint in preprint archive
- 2019
-
Mark
Likelihood-free stochastic approximation EM for inference in complex models
(
- Contribution to journal › Article
- 2018
-
Mark
Accelerating delayed-acceptance Markov chain Monte Carlo algorithms
2018)(
- Working paper/Preprint › Working paper
- 2017
-
Mark
Approximate maximum likelihood estimation using data-cloning ABC
(
- Contribution to journal › Article
- 2016
-
Mark
Accelerating inference for diffusions observed with measurement error and large sample sizes using approximate Bayesian computation
(
- Contribution to journal › Article
- 2014
-
Mark
Inference for SDE models via Approximate Bayesian Computation
(
- Contribution to journal › Article
- 2013
-
Mark
abc-sde: A MATLAB toolbox for approximate Bayesian computation (ABC) in stochastic differential equation models
2013)(
- Other contribution › Miscellaneous