← All authors Christopher Drovandi Queensland University of Technology (from arXiv:1906.03828, 2019) · ORCID · OpenAlex
89 papers in scope · 89 published · 1 on the econ.EM arXiv · 2,286 citations · h-index 24 (over the papers listed here)
Related authors The 20 authors closest to this one in our weighted citation graph, most related first.
Minh-Ngoc Tran Robert Kohn Tra Ngoc Vy Nguyen Chen Liu Chao Wang Adam Clements Dan Li Haoyuan Wang Martin Magris Alexandros Iosifidis Richard Gerlach Kasun Bandara Slawek Smyl Yasin Şimşek Diego S. de Brito Ruy M. Ribeiro Rafael Alves Andrew J. Patton Darjus Hosszejni Trong Nghia-Nguyen Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md .
Papers (1 of 89)
Bayesian uncertainty quantification to identify population level vaccine hesitancy behaviours
published 2026 · PLoS ONE
with David J. Warne, Abhishek Varghese, Aidan Brewster, Alexander P. Browning, Mario Michael Krell, Wenbiao Hu, Antonietta Mira, Kerrie Mengersen, Adrianne L. Jenner
Wasserstein Gaussianization and Efficient Variational Bayes for Robust Bayesian Synthetic Likelihood
published 2025 · Journal of Computational and Graphical Statistics · first circulated 2023
with Nhat-Minh Nguyen, Minh-Ngoc Tran, David J. Nott
Unbiased and consistent nested sampling via sequential Monte Carlo
published 2025 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 22 citations
with Robert Salomone, Leah F. South, Dirk P. Kroese, Adam M Johansen
Pooling Information in Likelihood-Free Inference
published 2025 · Bayesian Analysis · 1 citations · first circulated 2022
A Principled Approach to Bayesian Transfer Learning
published 2025 · Bayesian Analysis · 1 citations
with Adam Bretherton, J. Bon, David J. Warne, K. Mengersen, Joshua J. Bon, Kerrie Mengersen
Bayesian design methods for improving the effectiveness of ecosystem monitoring
published 2024 · Environmental and Ecological Statistics · 5 citations
with A. W. L. Pubudu Thilan, Erin E. Peterson, Patricia Menéndez, Julian Caley, Camille Mellin, James McGree
Synthetic Likelihood in Misspecified Models
published 2024 · Journal of the American Statistical Association · 7 citations · first circulated 2021
Innovative approaches in soil carbon sequestration modelling for better prediction with limited data
published 2024 · Scientific Reports · 13 citations · first circulated 2021
with Mohammad Javad Davoudabadi, Dan Pagendam, Jeff Baldock, Gentry White
Will Bazball finally knock its critics for six?
published 2024 · Significance
with Tim Newans
Generalised likelihood profiles for models with intractable likelihoods
published 2023 · Statistics and Computing · 9 citations
with David J. Warne, Oliver J. Maclaren, Elliot J. Carr, Matthew J. Simpson
Component-wise iterative ensemble Kalman inversion for static Bayesian models with unknown measurement error covariance
published 2023 · Inverse Problems · 9 citations · first circulated 2022
Bayesian Inference for Misspecified Generative Models
published 2023 · Annual Review of Statistics and Its Application · 14 citations
Adaptive experimental design produces superior and more efficient estimates of predator functional response
published 2023 · PLoS ONE · 1 citations
with Nikos E. Papanikolaou, Hayden Moffat, Argyro A. Fantinou, Dionysios P. Perdikis, Michael Bode
Transformations in semi-parametric Bayesian synthetic likelihood
published 2023 · Computational Statistics & Data Analysis · 3 citations · first circulated 2020
with Jacob W. Priddle
Improving the Accuracy of Marginal Approximations in Likelihood-Free Inference via Localization
published 2023 · Journal of Computational and Graphical Statistics · 4 citations · first circulated 2022
Automatically adapting the number of state particles in SMC$$^2$$
published 2023 · Statistics and Computing · 1 citations · first circulated 2022
Outlier-robust methods for forecasting realized covariance matrices
published 2023 · International Journal of Forecasting · 1 citations
Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics
published 2023 · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · 17 citations · first circulated 2022
with Joshua J. Bon, Adam Bretherton, Katie Buchhorn, Susanna Cramb, Conor Hassan, Adrianne L. Jenner, Helen J. Mayfield, James McGree, Kerrie Mengersen, Aiden Price, Robert Salomone, Edgar Santos-Fernández, …
Modularized Bayesian analyses and cutting feedback in likelihood-free inference
published 2023 · Statistics and Computing · first circulated 2022
A Bayesian approach for more reliable tail risk forecasts
published 2022 · Journal of Financial Stability · 9 citations
Strategic model reduction by analysing model sloppiness: A case study in coral calcification
published 2022 · Environmental Modelling & Software · 16 citations
with Sarah A. Vollert, Gloria M. Monsalve-Bravo, Matthew Adams, Matthew P. Adams
Predictions of machine learning with mixed-effects in analyzing longitudinal data under model misspecification
published 2022 · Statistical Methods & Applications · 18 citations
with Shuwen Hu, You-Gan Wang, Taoyun Cao
Regularized Zero-Variance Control Variates
published 2022 · Bayesian Analysis · 13 citations · first circulated 2018
with Leah F. South, Chris J. Oates, Antonietta Mira
Bayesian Inference Using Synthetic Likelihood: Asymptotics and Adjustments
published 2022 · Journal of the American Statistical Association · 38 citations · first circulated 2019
A comparison of likelihood-free methods with and without summary statistics
published 2022 · Statistics and Computing · 29 citations · first circulated 2021
Framework for assessing and easing global COVID-19 travel restrictions
published 2022 · Scientific Reports · 18 citations
with Thien-Minh Le, Louis Raynal, Octavious Talbot, Hali L. Hambridge, Antonietta Mira, Kerrie Mengersen, Jukka-Pekka Onnela
Optimal Bayesian design for model discrimination via classification
published 2022 · Statistics and Computing · 9 citations
with Markus Hainy, David J. Price, Olivier Restif
BSL : An R Package for Efficient Parameter Estimation for Simulation-Based Models via Bayesian Synthetic Likelihood
published 2022 · Journal of Statistical Software · 10 citations · first circulated 2019
with Ziwen An, Leah F. South
Bayesian prediction of winning times for elite swimming events
published 2021 · Journal of Sports Sciences · 13 citations
with Paul Pao-Yen Wu, Lawrence Garufi, Kerrie Mengersen, Lachlan J.G. Mitchell, Mark A. Osborne, David B. Pyne
Efficient Bayesian Synthetic Likelihood With Whitening Transformations
published 2021 · Journal of Computational and Graphical Statistics · 16 citations · first circulated 2019
Accelerating sequential Monte Carlo with surrogate likelihoods
published 2021 · Statistics and Computing · 4 citations
with Joshua J. Bon, Anthony Lee
Predicting performance in 4 x 200-m freestyle swimming relay events
published 2021 · PLoS ONE · 8 citations
with Paul Pao-Yen Wu, Toktam Babaei, Michael O’Shea, Kerrie Mengersen, Katie E. McGibbon, David B. Pyne, Lachlan J.G. Mitchell, Mark A. Osborne
Vector Operations for Accelerating Expensive Bayesian Computations – A Tutorial Guide
published 2021 · Bayesian Analysis · 5 citations
Robust Approximate Bayesian Inference With Synthetic Likelihood
published 2021 · Journal of Computational and Graphical Statistics · 30 citations · first circulated 2019
A Semiautomatic Method for History Matching Using Sequential Monte Carlo
published 2021 · SIAM/ASA Journal on Uncertainty Quantification · 1 citations · first circulated 2017
Ensemble MCMC: Accelerating Pseudo-Marginal MCMC for State Space Models using the Ensemble Kalman Filter
published 2020 · Bayesian Analysis · 2 citations · first circulated 2019
with Richard G. Everitt, Andrew Golightly, Dennis Prangle
Author Correction: Taller staff occupationally exposed to less radiation to the temple in cardiac procedures, but risk higher doses during vascular cases
published 2020 · Scientific Reports · 3 citations
with Kelly Wilson-Stewart, Davide Fontanarosa, Dan Li, Rebecca Anderson, Jamie Trapp
Sequential Bayesian Experimental Design for Implicit Models via Mutual Information
published 2020 · Bayesian Analysis · 5 citations
with Steven Kleinegesse, Michael U. Gutmann
Particle Methods for Stochastic Differential Equation Mixed Effects Models
published 2020 · Bayesian Analysis · 5 citations · first circulated 2019
Relative rate of change in cognitive score network dynamics via Bayesian hierarchical models reveal spatial patterns of neurodegeneration
published 2020 · Statistics in Medicine
with Marcela Céspedes, James McGree, Kerrie Mengersen, Jürgen Fripp, James D. Doecke
published 2020 · Econometrics and Statistics · 12 citations · first circulated 2019
A Laplace-based algorithm for Bayesian adaptive design
published 2020 · Statistics and Computing · 9 citations
with S. G. Jagath Senarathne, James McGree
Robust Bayesian synthetic likelihood via a semi-parametric approach
published 2019 · Statistics and Computing · 48 citations · first circulated 2018
Bayesian sequential design for Copula models
published 2019 · Test · 9 citations
with S. G. Jagath Senarathne, James McGree
Accelerating Bayesian Synthetic Likelihood With the Graphical Lasso
published 2018 · Journal of Computational and Graphical Statistics · 30 citations
Bayesian Methods Might Solve the Problems with Magnitude-based Inference
published 2018 · Medicine & Science in Sports & Exercise · 8 citations
with David N. Borg, Geoffrey M. Minett, Ian B. Stewart, Ian J. Stewart
Sequential Monte Carlo Samplers with Independent Markov Chain Monte Carlo Proposals
published 2018 · Bayesian Analysis · 32 citations
with Leah F. South, A. N. Pettitt
Likelihood-free inference in high dimensions with synthetic likelihood
published 2018 · Computational Statistics & Data Analysis · 38 citations
An efficient algorithm for estimating brain covariance networks
published 2018 · PLoS ONE · 3 citations
with Marcela Céspedes, James McGree, Kerrie Mengersen, James D. Doecke, Jürgen Fripp
ABC model selection for spatial extremes models applied to South Australian maximum temperature data
published 2018 · Computational Statistics & Data Analysis · 8 citations
with Xing J. Lee, Markus Hainy, James P. McKeone, A. N. Pettitt
Optimal experimental design for predator–prey functional response experiments
published 2018 · Journal of The Royal Society Interface · 23 citations
with Jeff F. Zhang, Nikos E. Papanikolaou, Theodore Kypraios
Bayesian Parametric Bootstrap for Models with Intractable Likelihoods
published 2018 · Bayesian Analysis · 1 citations
with Brenda Vo, A. N. Pettitt
Optimal Bayesian design for discriminating between models with intractable likelihoods in epidemiology
published 2018 · Computational Statistics & Data Analysis · 18 citations
with Mahasen B. Dehideniya, James McGree
Using History Matching for Prior Choice
published 2018 · Technometrics · 8 citations · first circulated 2016
Accelerating pseudo-marginal MCMC using Gaussian processes
published 2017 · Computational Statistics & Data Analysis · 41 citations
with Matthew T. Moores, Richard J. Boys
Variational Bayes with synthetic likelihood
published 2017 · Statistics and Computing · 62 citations
Principles of Experimental Design for Big Data Analysis
published 2017 · Statistical Science · 44 citations
with Chris Holmes, James McGree, Kerrie Mengersen, Sylvia Richardson, Elizabeth Ryan
Approximate Bayesian Computation
published 2017 · Wiley StatsRef: Statistics Reference Online · 3 citations
Bayesian Synthetic Likelihood
published 2017 · Journal of Computational and Graphical Statistics · 203 citations
An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions
published 2017 · Statistics and Computing · 38 citations · first circulated 2016
with Antony M. Overstall, James McGree
Improving the Efficiency of Fully Bayesian Optimal Design of Experiments Using Randomised Quasi-Monte Carlo
published 2016 · Bayesian Analysis · 6 citations
Approximation of Bayesian Predictive p-Values with Regression ABC
published 2016 · Bayesian Analysis · 25 citations
Bayesian adaptive design: improving the effectiveness of monitoring of the Great Barrier Reef
published 2016 · Ecological Applications · 19 citations
with Su Yun Kang, James McGree, M. Julian Caley, Kerrie Mengersen
Bayesian Estimation of Small Effects in Exercise and Sports Science
published 2016 · PLoS ONE · 90 citations
with Kerrie Mengersen, Christian P. Robert, David B. Pyne, C. J. Gore
Exact and approximate Bayesian inference for low count time series models with intractable likelihoods
published 2016 · Bayesian Analysis · 4 citations
with A. N. Pettitt, Roy A. McCutchan
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Alive SMC 2 : Bayesian Model Selection for Low-Count Time Series Models with Intractable Likelihoods
published 2015 · Biometrics · 19 citations
with Roy A. McCutchan
Optimal Bayesian Experimental Design for Models with Intractable Likelihoods Using Indirect Inference Applied to Biological Process Models
published 2015 · Bayesian Analysis · 3 citations
with Caitríona M. Ryan, A. N. Pettitt
A pseudo-marginal sequential Monte Carlo algorithm for random effects models in Bayesian sequential design
published 2015 · Statistics and Computing · 16 citations
with James McGree, Gentry White, A. N. Pettitt
Simulation-based fully Bayesian experimental design for mixed effects models
published 2015 · Computational Statistics & Data Analysis · 19 citations
with Elizabeth Ryan, A. N. Pettitt
A Review of Modern Computational Algorithms for Bayesian Optimal Design
published 2015 · International Statistical Review · 321 citations
with Elizabeth Ryan, James McGree, A. N. Pettitt
Exact and Approximate Bayesian Inference for Low Integer-Valued Time Series Models with Intractable Likelihoods
published 2015 · Bayesian Analysis · 25 citations
with A. N. Pettitt, Roy A. McCutchan
Fully Bayesian Experimental Design for Pharmacokinetic Studies
published 2015 · Entropy · 42 citations
with Elizabeth Ryan, A. N. Pettitt
Bayesian Indirect Inference Using a Parametric Auxiliary Model
published 2015 · Statistical Science · 110 citations
with A. N. Pettitt, Anthony Lee
Pre-processing for approximate Bayesian computation in image analysis
published 2014 · Statistics and Computing · 38 citations
with Matthew T. Moores, Kerrie Mengersen, Christian P. Robert
Model Choice Problems Using Approximate Bayesian Computation with Applications to Pathogen Transmission Data Sets
published 2014 · Biometrics · 16 citations
with Xing J. Lee, A. N. Pettitt
Marginal reversible jump Markov chain Monte Carlo with application to motor unit number estimation
published 2013 · Computational Statistics & Data Analysis · 6 citations
with A. N. Pettitt, Robert D. Henderson, Pamela McCombe
A Sequential Monte Carlo Framework for Adaptive Bayesian Model Discrimination Designs Using Mutual Information
published 2013 · Springer proceedings in mathematics & statistics
with James McGree, A. N. Pettitt
Bayesian Experimental Design for Models with Intractable Likelihoods
published 2013 · Biometrics · 5 citations
with A. N. Pettitt, Caitríona M. Ryan
Towards Bayesian experimental design for nonlinear models that require a large number of sampling times
published 2013 · Computational Statistics & Data Analysis · 55 citations
with Elizabeth Ryan, Helen Thompson, A. N. Pettitt
A Sequential Monte Carlo Algorithm to Incorporate Model Uncertainty in Bayesian Sequential Design
published 2012 · Journal of Computational and Graphical Statistics · 8 citations
with James McGree, A. N. Pettitt
A sequential Monte Carlo approach to the sequential design for discriminating between rival continuous data models
published 2012 · Science & Engineering Faculty · 5 citations
with James McGree, A. N. Pettitt
A sequential Monte Carlo approach to derive sampling times and windows for population pharmacokinetic studies
published 2012 · Journal of Pharmacokinetics and Pharmacodynamics · 11 citations
with James McGree, A. N. Pettitt
Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data
published 2012 · Computational Statistics & Data Analysis · 54 citations
with James McGree, A. N. Pettitt
Adaptive Bayesian compound designs for dose finding studies
published 2012 · Journal of Statistical Planning and Inference · 25 citations
with James McGree, Helen Thompson, J. A. Eccleston, Stephen B. Duffull, Kerrie Mengersen, A. N. Pettitt, Timothy Goggin
Discussion of : constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation
published 2012 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 9 citations
with A. N. Pettitt
Taxonomic analysis of marine phytoplankton
published 2011 · ANZIAM Journal
with Bill Whiten, Barry McDonald
Likelihood-free Bayesian estimation of multivariate quantile distributions
published 2011 · Computational Statistics & Data Analysis · 100 citations
with A. N. Pettitt
Estimation of Parameters for Macroparasite Population Evolution Using Approximate Bayesian Computation
published 2010 · Biometrics · 240 citations
with A. N. Pettitt
Multivariate Markov Process Models for the Transmission of Methicillin‐Resistant Staphylococcus Aureus in a Hospital Ward
published 2007 · Biometrics · 17 citations
with A. N. Pettitt
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