Christopher C. Drovandi

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A sequential Monte Carlo framework for adaptive Bayesian model discrimination designs using mutual information

Anthony N. Pettitt, Christopher C. Drovandi, James McGree, 2014 .

ABC model selection for spatial extremes models applied to South Australian maximum temperature data

Anthony N. Pettitt, Christopher C. Drovandi, Xing Ju Lee, 2017, Comput. Stat. Data Anal..

Big data and design of experiments

Christopher Holmes, Christopher C. Drovandi, James McGree, 2016 .

Acceleration of expensive computations in Bayesian statistics using vector operations pdf

Christopher C. Drovandi, Scott A. Sisson, David J. Warne, 2019, ArXiv.

Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data

James M. McGree, Anthony N. Pettitt, Christopher C. Drovandi, 2013, Comput. Stat. Data Anal..

A sequential Monte Carlo approach to the sequential design for discriminating between rival continuous data models

Anthony N. Pettitt, Christopher C. Drovandi, James McGree, 2012 .

Implementing adaptive dose finding studies using sequential Monte Carlo

Anthony N. Pettitt, Christopher C. Drovandi, James McGree, 2012 .

Pseudo-marginal algorithms with multiple CPUs

Christopher C. Drovandi, C. Drovandi, 2014 .

Discussion of : constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation

Anthony N. Pettitt, Christopher C. Drovandi, A. Pettitt, 2012 .

Approximation of Bayesian predictive p-values withregression ABC

Christopher C. Drovandi, Kerrie Mengersen, David J. Nott, 2018 .

Using History Matching for Prior Choice

Christopher C. Drovandi, Kerrie L. Mengersen, Michael Evans, 2016, Technometrics.

Likelihood-free inference in high dimensions with synthetic likelihood

Christopher C. Drovandi, Scott A. Sisson, David J. Nott, 2018, Comput. Stat. Data Anal..

Simulation-based fully Bayesian experimental design for mixed effects models

Anthony N. Pettitt, Christopher C. Drovandi, Elizabeth G. Ryan, 2015, Comput. Stat. Data Anal..

A Laplace-based algorithm for Bayesian adaptive design

Christopher C. Drovandi, James McGree, S. G. J. Senarathne, 2020, Stat. Comput..

A Review of Modern Computational Algorithms for Bayesian Optimal Design

Anthony N. Pettitt, Christopher C. Drovandi, James McGree, 2016 .

Melanoma Cell Colony Expansion Parameters Revealed by Approximate Bayesian Computation

Anthony N. Pettitt, Christopher C. Drovandi, Graeme J. Pettet, 2015, PLoS Comput. Biol..

Marginal reversible jump Markov chain Monte Carlo with application to motor unit number estimation

Anthony N. Pettitt, Christopher C. Drovandi, Robert D. Henderson, 2014, Comput. Stat. Data Anal..

Efficient Bayesian design for discriminating between models with intractable likelihoods in epidemiology

Christopher C. Drovandi, James McGree, Mahasen B. Dehideniya, 2016 .

Likelihood‐Free Inference for Transmission Rates of Nosocomial Pathogens

Anthony N. Pettitt, Christopher C. Drovandi, A. Pettitt, 2012 .

A Bayesian Hierarchical Approach to Jointly Model Cortical Thickness and Covariance Networks

Christopher C. Drovandi, Kerrie Mengersen, Jurgen Fripp, 2020, Case Studies in Applied Bayesian Data Science.

Dual purpose Bayesian design for parameter estimation and model discrimination in epidemiology using a synthetic likelihood approach

Christopher C. Drovandi, James McGree, Mahasen B. Dehideniya, 2018 .

Accelerating Bayesian Synthetic Likelihood With the Graphical Lasso

Christopher C. Drovandi, David J. Nott, Ziwen An, 2019, Journal of Computational and Graphical Statistics.

The talking book: participatory design of an icon-based user interface for rural people with low literacy

Margot Brereton, Christopher C. Drovandi, Noel Wilson, 2018, AfriCHI.

A pseudo-marginal sequential Monte Carlo algorithm for random effects models in Bayesian sequential design

James M. McGree, Anthony N. Pettitt, Christopher C. Drovandi, 2016, Stat. Comput..

Bayesian algorithms with applications

Christopher C. Drovandi, 2012 .

Variational Bayes with synthetic likelihood

Christopher C. Drovandi, Scott A. Sisson, David J. Nott, 2016, Statistics and Computing.

A comparison of approximate versus exact techniques for Bayesian parameter inference in nonlinear ordinary differential equation models

Christopher C. Drovandi, Jennifer A. Flegg, Amani A. Alahmadi, 2020, Royal Society Open Science.

Bayesian semi-individual based model with approximate Bayesian computation for parameters calibration: Modelling Crown-of-Thorns populations on the Great Barrier Reef

Christopher C. Drovandi, Kenneth R. N. Anthony, Kerrie Mengersen, 2017 .

Optimal Bayesian design for discriminating between models with intractable likelihoods in epidemiology

James M. McGree, Christopher C. Drovandi, Mahasen B. Dehideniya, 2018, Comput. Stat. Data Anal..

Likelihood-free Bayesian estimation of multivariate quantile distributions

Anthony N. Pettitt, Christopher C. Drovandi, A. Pettitt, 2011, Comput. Stat. Data Anal..

Age dependent network dynamics via Bayesian hierarchical models reveal spatio-temporal patterns of neurodegeneration

Christopher C. Drovandi, Jurgen Fripp, Kerrie Mengersen, 2018 .

Pre-processing for approximate Bayesian computation in image analysis

Christopher C. Drovandi, Kerrie Mengersen, Christian P. Robert, 2015, Stat. Comput..

An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions

James M. McGree, Christopher C. Drovandi, Antony M. Overstall, 2016, Statistics and Computing.

Likelihood-Free Extensions for Bayesian Sequentially Designed Experiments

Christopher C. Drovandi, James McGree, Markus Hainy, 2016 .

Fully Bayesian Experimental Design for Pharmacokinetic Studies

Anthony N. Pettitt, Christopher C. Drovandi, Elizabeth G. Ryan, 2015, Entropy.

Optimal Bayesian experimental design for models with intractable likelihoods using indirect inference applied to biological process models

Anthony N. Pettitt, Christopher C. Drovandi, Caitriona M. Ryan, 2016 .

Towards Bayesian experimental design for nonlinear models that require a large number of sampling times

Anthony N. Pettitt, Christopher C. Drovandi, Elizabeth G. Ryan, 2014, Comput. Stat. Data Anal..

ABC model selection for spatial max-stable models applied to South Australian maximum temperature data

Anthony N. Pettitt, Christopher C. Drovandi, Xing Ju Lee, 2017 .

A Sequential Monte Carlo Algorithm to Incorporate Model Uncertainty in Bayesian Sequential Design

Anthony N. Pettitt, Christopher C. Drovandi, James McGree, 2014 .

A Bayesian hierarchical approach to jointly model structural biomarkers and covariance networks

Christopher C. Drovandi, James McGree, Jurgen Fripp, 2017 .

Accelerating pseudo-marginal MCMC using Gaussian processes

Christopher C. Drovandi, Richard J. Boys, Matthew T. Moores, 2018, Comput. Stat. Data Anal..

Bayesian Synthetic Likelihood [R package BSL version 3.2.0]

Christopher C. Drovandi, Ziwen An, Leah F. South, 2020 .

A sequential Monte Carlo approach to design for population pharmacokinetics studies

Anthony N. Pettitt, Christopher C. Drovandi, James McGree, 2012 .

Bayesian indirect inference using a parametric auxiliary model

Anthony N. Pettitt, Christopher C. Drovandi, Anthony Lee, 2015, 1505.03372.

Bayesian design methods for improving the effectiveness of monitoring coral reefs

Christopher C. Drovandi, James McGree, Erin E. Peterson, 2019 .

Advanced Bayesian approaches for state-space models with a case study on soil carbon sequestration

Christopher C. Drovandi, Jeff Baldock, Mohammad-Javad Davoudabadi, 2021, Environ. Model. Softw..

Bayesian Parametric Bootstrap for Models with Intractable Likelihoods

Anthony N. Pettitt, Christopher C. Drovandi, Brenda N. Vo, 2019, Bayesian Analysis.

Approximate Bayesian computation

Christopher C. Drovandi, 2017 .

Slow Recovery of Excitability Increases Ventricular Fibrillation Risk as Identified by Emulation

Christopher C. Drovandi, Kevin Burrage, Alfonso Bueno-Orovio, 2018, Front. Physiol..

Exact and Approximate Bayesian Inference for Low Integer-Valued Time Series Models with Intractable Likelihoods

Anthony N. Pettitt, Christopher C. Drovandi, A. Pettitt, 2016 .

Sequential Monte Carlo Samplers with Independent Markov Chain Monte Carlo Proposals

Anthony N. Pettitt, Christopher C. Drovandi, Leah F. South, 2019, Bayesian Analysis.

Statistical Communications in Infectious Diseases Using Approximate Bayesian Computation to Estimate Transmission Rates of Nosocomial Pathogens

Anthony N. Pettitt, Christopher C. Drovandi, A. Pettitt, 2011 .

Approximating the Likelihood in ABC

Christopher C. Drovandi, Christian P. Robert, Kerrie Mengersen, 2018, Handbook of Approximate Bayesian Computation.

Improving the efficiency of fully Bayesian optimal design of experiments using randomised quasi-Monte Carlo

Christopher C. Drovandi, Minh-Ngoc Tran, C. Drovandi, 2018 .

Optimal experimental design for predator–prey functional response experiments

Christopher C. Drovandi, Theodore Kypraios, Nikos E. Papanikolaou, 2018, Journal of The Royal Society Interface.