Christopher C. Drovandi

58 papers A* 1Journal 55Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fast Model Selection and Stable Optimization for Softmax-Gated Multinomial-Logistic Mixture of Experts Models. CoRR TrungKhang Tran, TrungTin Nguyen, Md. Abul Bashar, Nhat Ho, Richi Nayak, Christopher C. Drovandi
2026	J	`jnl`	Revisiting Incremental Stochastic Majorization-Minimization Algorithms with Applications to Mixture of Experts. CoRR TrungKhang Tran, TrungTin Nguyen, Gersende Fort, Tung Doan, Hien Duy Nguyen, Binh T. Nguyen, Florence Forbes, Christopher C. Drovandi
2026	J	`jnl`	Wasserstein Gaussianization and Efficient Variational Bayes for Robust Bayesian Synthetic Likelihood. J. Comput. Graph. Stat. Nhat-Minh Nguyen, Minh-Ngoc Tran, Christopher C. Drovandi, David J. Nott
2025	J	`jnl`	A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random. CoRR Binh H. Ho, Long Nguyen Chi, TrungTin Nguyen, Binh T. Nguyen, Van Ha Hoang, Christopher C. Drovandi
2025	J	`jnl`	Bayesian Score Calibration for Approximate Models. J. Mach. Learn. Res. Joshua J. Bon, David J. Warne, David J. Nott, Christopher C. Drovandi
2025	J	`jnl`	Dendrograms of Mixing Measures for Softmax-Gated Gaussian Mixture of Experts: Consistency without Model Sweeps. CoRR Do Tien Hai, Trung Nguyen Mai, TrungTin Nguyen, Nhat Ho, Binh T. Nguyen, Christopher C. Drovandi
2025	J	`jnl`	Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures. CoRR Tuan Thai, TrungTin Nguyen, Dat Do, Nhat Ho, Christopher C. Drovandi
2025	J	`jnl`	Simulation-based Bayesian inference under model misspecification. CoRR Ryan P. Kelly, David J. Warne, David T. Frazier, David J. Nott, Michael U. Gutmann, Christopher C. Drovandi
2025	A*	`conf`	The Polynomial Stein Discrepancy for Assessing Moment Convergence. ICML Narayan Srinivasan, Matthew Sutton, Christopher C. Drovandi, Leah F. South
2024	J	`jnl`	Generalised likelihood profiles for models with intractable likelihoods. Stat. Comput. David J. Warne, Oliver J. Maclaren, Elliot J. Carr, Matthew J. Simpson, Christopher C. Drovandi
2024	J	`jnl`	Improving the Accuracy of Marginal Approximations in Likelihood-Free Inference via Localization. J. Comput. Graph. Stat. Christopher C. Drovandi, David J. Nott, David T. Frazier
2024	J	`jnl`	LooplessFluxSampler: an efficient toolbox for sampling the loopless flux solution space of metabolic models. BMC Bioinform. Pedro A. Saa, Sebastian Zapararte, Christopher C. Drovandi, Lars Keld Nielsen
2024	J	`jnl`	Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference. Trans. Mach. Learn. Res. Ryan P. Kelly, David J. Nott, David T. Frazier, David J. Warne, Christopher C. Drovandi
2024	J	`jnl`	Perlin noise generation of physiologically realistic cardiac fibrosis. Medical Image Anal. Brodie A. J. Lawson, Christopher C. Drovandi, Pamela M. Burrage, Alfonso Bueno-Orovio, Rodrigo Weber dos Santos, Blanca Rodríguez, Kerrie L. Mengersen, Kevin Burrage
2024	J	`jnl`	Preconditioned Neural Posterior Estimation for Likelihood-free Inference. CoRR Xiaoyu Wang, Ryan P. Kelly, David J. Warne, Christopher C. Drovandi
2024	J	`jnl`	Preconditioned Neural Posterior Estimation for Likelihood-free Inference. Trans. Mach. Learn. Res. Xiaoyu Wang, Ryan P. Kelly, David J. Warne, Christopher C. Drovandi
2024	J	`jnl`	The Polynomial Stein Discrepancy for Assessing Moment Convergence. CoRR Narayan Srinivasan, Matthew Sutton, Christopher C. Drovandi, Leah F. South
2024	J	`jnl`	The Statistical Accuracy of Neural Posterior and Likelihood Estimation. CoRR David T. Frazier, Ryan P. Kelly, Christopher C. Drovandi, David J. Warne
2024	J	`jnl`	Unlocking ensemble ecosystem modelling for large and complex networks. PLoS Comput. Biol. Sarah A. Vollert, Christopher C. Drovandi, Matthew P. Adams
2023	J	`jnl`	Automatically adapting the number of state particles in SMC Stat. Comput. Imke Botha, Robert Kohn, Leah F. South, Christopher C. Drovandi
2023	J	`jnl`	Modularized Bayesian analyses and cutting feedback in likelihood-free inference. Stat. Comput. Atlanta Chakraborty, David J. Nott, Christopher C. Drovandi, David T. Frazier, Scott A. Sisson
2023	J	`jnl`	Strategic model reduction by analysing model sloppiness: A case study in coral calcification. Environ. Model. Softw. Sarah A. Vollert, Christopher C. Drovandi, Gloria M. Monsalve-Bravo, Matthew P. Adams
2023	J	`jnl`	The effect of biologically mediated decay rates on modelling soil carbon sequestration in agricultural settings. Environ. Model. Softw. Mohammad-Javad Davoudabadi, Daniel Edward Pagendam, Christopher C. Drovandi, Jeff Baldock, Gentry White
2023	J	`jnl`	Transformations in semi-parametric Bayesian synthetic likelihood. Comput. Stat. Data Anal. Jacob W. Priddle, Christopher C. Drovandi
2022	J	`jnl`	A comparison of likelihood-free methods with and without summary statistics. Stat. Comput. Christopher C. Drovandi, David T. Frazier
2022	J	`jnl`	BSL: An R Package for Efficient Parameter Estimation for Simulation-Based Models via Bayesian Synthetic Likelihood. J. Stat. Softw. Ziwen An, Leah F. South, Christopher C. Drovandi
2022	J	`jnl`	Computationally efficient mechanism discovery for cell invasion with uncertainty quantification. PLoS Comput. Biol. Daniel J. Vandenheuvel, Christopher C. Drovandi, Matthew J. Simpson
2022	J	`jnl`	Efficient Bayesian Synthetic Likelihood With Whitening Transformations. J. Comput. Graph. Stat. Jacob W. Priddle, Scott A. Sisson, David T. Frazier, Ian W. Turner, Christopher C. Drovandi
2022	J	`jnl`	Efficient inference and identifiability analysis for differential equation models with random parameters. PLoS Comput. Biol. Alexander P. Browning, Christopher C. Drovandi, Ian W. Turner, Adrianne L. Jenner, Matthew J. Simpson
2022	J	`jnl`	Optimal Bayesian design for model discrimination via classification. Stat. Comput. Markus Hainy, David J. Price, Olivier Restif, Christopher C. Drovandi
2021	J	`jnl`	A Semiautomatic Method for History Matching Using Sequential Monte Carlo. SIAM/ASA J. Uncertain. Quantification Christopher C. Drovandi, David J. Nott, Daniel Edward Pagendam
2021	J	`jnl`	Accelerating sequential Monte Carlo with surrogate likelihoods. Stat. Comput. Joshua J. Bon, Anthony Lee, Christopher C. Drovandi
2021	J	`jnl`	Advanced Bayesian approaches for state-space models with a case study on soil carbon sequestration. Environ. Model. Softw. Mohammad-Javad Davoudabadi, Daniel Edward Pagendam, Christopher C. Drovandi, Jeff Baldock, Gentry White
2021	—	`conf`	Inference of Ventricular Activation Properties from Twelve-lead Electrocardiogram. CinC Julià Camps, Brodie Lawson, Christopher C. Drovandi, Ana Mincholé, Zhinuo J. Wang, Vicente Grau, Kevin Burrage, Blanca Rodríguez
2021	J	`jnl`	Inference of ventricular activation properties from non-invasive electrocardiography. Medical Image Anal. Julià Camps, Brodie Lawson, Christopher C. Drovandi, Ana Mincholé, Zhinuo J. Wang, Vicente Grau, Kevin Burrage, Blanca Rodríguez
2021	J	`jnl`	Robust Approximate Bayesian Inference With Synthetic Likelihood. J. Comput. Graph. Stat. David T. Frazier, Christopher C. Drovandi
2020	J	`jnl`	A Laplace-based algorithm for Bayesian adaptive design. Stat. Comput. S. G. J. Senarathne, Christopher C. Drovandi, James M. McGree
2020	J	`jnl`	Estimating a novel stochastic model for within-field disease dynamics of banana bunchy top virus via approximate Bayesian computation. PLoS Comput. Biol. Abhishek Varghese, Christopher C. Drovandi, Antonietta Mira, Kerrie L. Mengersen
2020	J	`jnl`	Robust Bayesian synthetic likelihood via a semi-parametric approach. Stat. Comput. Ziwen An, David J. Nott, Christopher C. Drovandi
2020	J	`jnl`	Sequential Bayesian Experimental Design for Implicit Models via Mutual Information. CoRR Steven Kleinegesse, Christopher C. Drovandi, Michael U. Gutmann
2019	J	`jnl`	Acceleration of expensive computations in Bayesian statistics using vector operations. CoRR David J. Warne, Scott A. Sisson, Christopher C. Drovandi
2018	J	`jnl`	ABC model selection for spatial extremes models applied to South Australian maximum temperature data. Comput. Stat. Data Anal. Xing Ju Lee, Markus Hainy, James P. McKeone, Christopher C. Drovandi, Anthony N. Pettitt
2018	J	`jnl`	Accelerating pseudo-marginal MCMC using Gaussian processes. Comput. Stat. Data Anal. Christopher C. Drovandi, Matthew T. Moores, Richard J. Boys
2018	J	`jnl`	An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions. Stat. Comput. Antony M. Overstall, James M. McGree, Christopher C. Drovandi
2018	J	`jnl`	Likelihood-free inference in high dimensions with synthetic likelihood. Comput. Stat. Data Anal. Victor M. H. Ong, David J. Nott, Minh-Ngoc Tran, Scott A. Sisson, Christopher C. Drovandi
2018	J	`jnl`	Optimal Bayesian design for discriminating between models with intractable likelihoods in epidemiology. Comput. Stat. Data Anal. Mahasen B. Dehideniya, Christopher C. Drovandi, James M. McGree
2018	—	`conf`	The talking book: participatory design of an icon-based user interface for rural people with low literacy. AfriCHI Andrew Bayor, Clifford Schmidt, Fidelis Dauri, Noel Wilson, Christopher C. Drovandi, Margot Brereton
2018	J	`jnl`	Using History Matching for Prior Choice. Technometrics Xueou Wang, David J. Nott, Christopher C. Drovandi, Kerrie L. Mengersen, Michael Evans
2018	J	`jnl`	Variational Bayes with synthetic likelihood. Stat. Comput. Victor M. H. Ong, David J. Nott, Minh-Ngoc Tran, Scott A. Sisson, Christopher C. Drovandi
2016	J	`jnl`	A pseudo-marginal sequential Monte Carlo algorithm for random effects models in Bayesian sequential design. Stat. Comput. James M. McGree, Christopher C. Drovandi, Gentry White, Anthony N. Pettitt
2015	J	`jnl`	Fully Bayesian Experimental Design for Pharmacokinetic Studies. Entropy Elizabeth G. Ryan, Christopher C. Drovandi, Anthony N. Pettitt
2015	J	`jnl`	Melanoma Cell Colony Expansion Parameters Revealed by Approximate Bayesian Computation. PLoS Comput. Biol. Brenda N. Vo, Christopher C. Drovandi, Anthony N. Pettitt, Graeme J. Pettet
2015	J	`jnl`	Pre-processing for approximate Bayesian computation in image analysis. Stat. Comput. Matthew T. Moores, Christopher C. Drovandi, Kerrie L. Mengersen, Christian P. Robert
2015	J	`jnl`	Simulation-based fully Bayesian experimental design for mixed effects models. Comput. Stat. Data Anal. Elizabeth G. Ryan, Christopher C. Drovandi, Anthony N. Pettitt
2014	J	`jnl`	Marginal reversible jump Markov chain Monte Carlo with application to motor unit number estimation. Comput. Stat. Data Anal. Christopher C. Drovandi, Anthony N. Pettitt, Robert D. Henderson, Pamela A. McCombe
2014	J	`jnl`	Towards Bayesian experimental design for nonlinear models that require a large number of sampling times. Comput. Stat. Data Anal. Elizabeth G. Ryan, Christopher C. Drovandi, M. Helen Thompson, Anthony N. Pettitt
2013	J	`jnl`	Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data. Comput. Stat. Data Anal. Christopher C. Drovandi, James M. McGree, Anthony N. Pettitt
2011	J	`jnl`	Likelihood-free Bayesian estimation of multivariate quantile distributions. Comput. Stat. Data Anal. Christopher C. Drovandi, Anthony N. Pettitt