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- 2021
-
Mark
Sequential Neural Posterior and Likelihood Approximation
2021)(
- Working paper/Preprint › Preprint in preprint archive
-
Mark
Efficient inference for stochastic differential equation mixed-effects models using correlated particle pseudo-marginal algorithms
(
- Contribution to journal › Article
- 2019
-
Mark
Bayesian inference for stochastic differential equation mixed effects models of a tumour xenography study
(
- Contribution to journal › Article
-
Mark
Likelihood-free stochastic approximation EM for inference in complex models
(
- Contribution to journal › Article
-
Mark
Partially exchangeable networks and architectures for learning summary statistics in approximate Bayesian computation
2019) 36th International Conference on Machine Learning, ICML 2019 In 36th International Conference on Machine Learning, ICML 2019 2019-June. p.11795-11804(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 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
- 2014
-
Mark
Inference for SDE models via Approximate Bayesian Computation
(
- Contribution to journal › Article