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- 2019
-
Mark
Likelihood-free stochastic approximation EM for inference in complex models
(
- Contribution to journal › Article
-
Mark
Bayesian inference for stochastic differential equation mixed effects models of a tumour xenography study
(
- Contribution to journal › Article
-
Mark
Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation
2019)(
- Working paper/Preprint › Working paper
- 2018
-
Mark
Accelerating delayed-acceptance Markov chain Monte Carlo algorithms
2018)(
- Working paper/Preprint › Working paper
-
Mark
Coupling stochastic EM and approximate Bayesian computation for parameter inference in state-space models
(
- Contribution to journal › Article
- 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