| Publication | Date of Publication | Type |
|---|
| Calibration of agent based models for monophasic and biphasic tumour growth using approximate Bayesian computation | 2024-03-05 | Paper |
| Ensemble MCMC: accelerating pseudo-marginal MCMC for state space models using the ensemble Kalman filter | 2024-02-27 | Paper |
| Vector operations for accelerating expensive Bayesian computations - a tutorial guide | 2024-02-27 | Paper |
| Sequential Bayesian experimental design for implicit models via mutual information | 2024-02-20 | Paper |
| Generalised likelihood profiles for models with intractable likelihoods | 2024-02-06 | Paper |
| Bayesian Inference Using Synthetic Likelihood: Asymptotics and Adjustments | 2024-01-08 | Paper |
| Component-wise iterative ensemble Kalman inversion for static Bayesian models with unknown measurement error covariance | 2023-11-15 | Paper |
| A Review of Modern Computational Algorithms for Bayesian Optimal Design | 2023-11-10 | Paper |
| Transformations in semi-parametric Bayesian synthetic likelihood | 2023-09-15 | Paper |
| Predictions of machine learning with mixed-effects in analyzing longitudinal data under model misspecification | 2023-07-27 | Paper |
| Automatically adapting the number of state particles in \(\text{SMC}^2\) | 2023-07-21 | Paper |
| Modularized Bayesian analyses and cutting feedback in likelihood-free inference | 2023-06-09 | Paper |
| A Bayesian hierarchical approach to jointly model cortical thickness and covariance networks | 2022-11-18 | Paper |
| Bayesian modelling to assist inference on health outcomes in occupational health surveillance | 2022-11-18 | Paper |
| Efficient Bayesian Synthetic Likelihood With Whitening Transformations | 2022-06-22 | Paper |
| A comparison of likelihood-free methods with and without summary statistics | 2022-05-25 | Paper |
| Optimal Bayesian design for model discrimination via classification | 2022-04-21 | Paper |
| Robust Approximate Bayesian Inference With Synthetic Likelihood | 2022-03-29 | Paper |
| Accelerating Bayesian Synthetic Likelihood With the Graphical Lasso | 2022-03-28 | Paper |
| Accelerating sequential Monte Carlo with surrogate likelihoods | 2021-12-09 | Paper |
| A Semiautomatic Method for History Matching Using Sequential Monte Carlo | 2021-08-24 | Paper |
| A Laplace-based algorithm for Bayesian adaptive design | 2020-11-04 | Paper |
| Bayesian sequential design for copula models | 2020-08-27 | Paper |
| Robust Bayesian Synthetic Likelihood via a Semi-Parametric Approach | 2020-02-26 | Paper |
| Sequential Monte Carlo samplers with independent Markov chain Monte Carlo proposals | 2019-08-07 | Paper |
| Accelerating Bayesian Synthetic Likelihood With the Graphical Lasso | 2019-02-19 | Paper |
| Bayesian parametric bootstrap for models with intractable likelihoods | 2019-01-15 | Paper |
| Marginal reversible jump Markov chain Monte Carlo with application to motor unit number estimation | 2018-11-23 | Paper |
| Towards Bayesian experimental design for nonlinear models that require a large number of sampling times | 2018-11-02 | Paper |
| ABC model selection for spatial extremes models applied to south Australian maximum temperature data | 2018-10-17 | Paper |
| Likelihood-free inference in high dimensions with synthetic likelihood | 2018-10-17 | Paper |
| Robust Bayesian Synthetic Likelihood via a Semi-Parametric Approach | 2018-09-16 | Paper |
| Simulation-based fully Bayesian experimental design for mixed effects models | 2018-08-21 | Paper |
| Optimal Bayesian design for discriminating between models with intractable likelihoods in epidemiology | 2018-08-20 | Paper |
| Accelerating pseudo-marginal MCMC using Gaussian processes | 2018-08-17 | Paper |
| Likelihood-free Bayesian estimation of multivariate quantile distributions | 2018-08-14 | Paper |
| Approximation of Bayesian predictive \(p\)-values with regression ABC | 2018-05-25 | Paper |
| Improving the efficiency of fully Bayesian optimal design of experiments using randomised quasi-Monte Carlo | 2018-05-25 | Paper |
| Principles of experimental design for big data analysis | 2018-05-18 | Paper |
| Variational Bayes with synthetic likelihood | 2018-03-08 | Paper |
| An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions | 2018-02-27 | Paper |
| Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data | 2017-06-29 | Paper |
| Exact and approximate Bayesian inference for low integer-valued time series models with intractable likelihoods | 2017-03-14 | Paper |
| Optimal Bayesian experimental design for models with intractable likelihoods using indirect inference applied to biological process models | 2017-03-14 | Paper |
| A pseudo-marginal sequential Monte Carlo algorithm for random effects models in Bayesian sequential design | 2016-11-15 | Paper |
| Alive SMC2: Bayesian model selection for low‐count time series models with intractable likelihoods | 2016-07-15 | Paper |
| Bayesian indirect inference using a parametric auxiliary model | 2016-03-08 | Paper |
| Pre-processing for approximate Bayesian computation in image analysis | 2016-02-22 | Paper |
| Model choice problems using approximate Bayesian computation with applications to pathogen transmission data sets | 2016-01-22 | Paper |
| Quantifying uncertainty in parameter estimates for stochastic models of collective cell spreading using approximate Bayesian computation | 2015-09-01 | Paper |
| Bayesian Experimental Design for Models with Intractable Likelihoods | 2014-04-08 | Paper |
| Adaptive Bayesian compound designs for dose finding studies | 2012-07-16 | Paper |
| Estimation of Parameters for Macroparasite Population Evolution Using Approximate Bayesian Computation | 2011-06-22 | Paper |
| Multivariate Markov Process Models for the Transmission of Methicillin‐Resistant Staphylococcus Aureus in a Hospital Ward | 2008-10-15 | Paper |
