Christopher C. Drovandi

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 36

Top Topics

Experimental Design

Sequential Monte Carlo

Top Venues

Comput. Stat. Data Anal.

PLoS Comput. Biol.

Publications

Ryan P. Kelly, David J. Nott, David T. Frazier, David J. Warne, Christopher C. Drovandi
Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference. Trans. Mach. Learn. Res. 2024 (2024)
Xiaoyu Wang, Ryan P. Kelly, David J. Warne, Christopher C. Drovandi
Preconditioned Neural Posterior Estimation for Likelihood-free Inference. CoRR (2024)
Christopher C. Drovandi, David J. Nott, David T. Frazier
Improving the Accuracy of Marginal Approximations in Likelihood-Free Inference via Localization. J. Comput. Graph. Stat. 33 (1) (2024)
David J. Warne, Oliver J. Maclaren, Elliot J. Carr, Matthew J. Simpson, Christopher C. Drovandi
Generalised likelihood profiles for models with intractable likelihoods. Stat. Comput. 34 (1) (2024)
Pedro A. Saa, Sebastian Zapararte, Christopher C. Drovandi, Lars K. Nielsen
LooplessFluxSampler: an efficient toolbox for sampling the loopless flux solution space of metabolic models. BMC Bioinform. 25 (1) (2024)
Jacob W. Priddle, Christopher C. Drovandi
Transformations in semi-parametric Bayesian synthetic likelihood. Comput. Stat. Data Anal. 187 (2023)
Mohammad-Javad Davoudabadi, Daniel Edward Pagendam, Christopher C. Drovandi, Jeff Baldock, Gentry White
The effect of biologically mediated decay rates on modelling soil carbon sequestration in agricultural settings. Environ. Model. Softw. 168 (2023)
Imke Botha, Robert Kohn, Leah F. South, Christopher C. Drovandi
. Stat. Comput. 33 (4) (2023)
Atlanta Chakraborty, David J. Nott, Christopher C. Drovandi, David T. Frazier, Scott A. Sisson
Modularized Bayesian analyses and cutting feedback in likelihood-free inference. Stat. Comput. 33 (1) (2023)
Sarah A. Vollert, Christopher C. Drovandi, Gloria M. Monsalve-Bravo, Matthew P. Adams
Strategic model reduction by analysing model sloppiness: A case study in coral calcification. Environ. Model. Softw. 159 (2023)
Daniel J. Vandenheuvel, Christopher C. Drovandi, Matthew J. Simpson
Computationally efficient mechanism discovery for cell invasion with uncertainty quantification. PLoS Comput. Biol. 18 (11) (2022)
Alexander P. Browning, Christopher C. Drovandi, Ian W. Turner, Adrianne L. Jenner, Matthew J. Simpson
Efficient inference and identifiability analysis for differential equation models with random parameters. PLoS Comput. Biol. 18 (11) (2022)
Markus Hainy, David J. Price, Olivier Restif, Christopher C. Drovandi
Optimal Bayesian design for model discrimination via classification. Stat. Comput. 32 (2) (2022)
Ziwen An, Leah F. South, Christopher C. Drovandi
BSL: An R Package for Efficient Parameter Estimation for Simulation-Based Models via Bayesian Synthetic Likelihood. J. Stat. Softw. 101 (11) (2022)
Jacob W. Priddle, Scott A. Sisson, David T. Frazier, Ian W. Turner, Christopher C. Drovandi
Efficient Bayesian Synthetic Likelihood With Whitening Transformations. J. Comput. Graph. Stat. 31 (1) (2022)
Christopher C. Drovandi, David T. Frazier
A comparison of likelihood-free methods with and without summary statistics. Stat. Comput. 32 (3) (2022)
Joshua J. Bon, Anthony Lee, Christopher C. Drovandi
Accelerating sequential Monte Carlo with surrogate likelihoods. Stat. Comput. 31 (5) (2021)
Julià Camps, Brodie Lawson, Christopher C. Drovandi, Ana Mincholé, Zhinuo J. Wang, Vicente Grau, Kevin Burrage, Blanca Rodríguez
Inference of ventricular activation properties from non-invasive electrocardiography. Medical Image Anal. 73 (2021)
Christopher C. Drovandi, David J. Nott, Daniel Edward Pagendam
A Semiautomatic Method for History Matching Using Sequential Monte Carlo. SIAM/ASA J. Uncertain. Quantification 9 (3) (2021)
Julià Camps, Brodie Lawson, Christopher C. Drovandi, Ana Mincholé, Zhinuo J. Wang, Vicente Grau, Kevin Burrage, Blanca Rodríguez
Inference of Ventricular Activation Properties from Twelve-lead Electrocardiogram. CinC (2021)
Mohammad-Javad Davoudabadi, Daniel Edward Pagendam, Christopher C. Drovandi, Jeff Baldock, Gentry White
Advanced Bayesian approaches for state-space models with a case study on soil carbon sequestration. Environ. Model. Softw. 136 (2021)
David T. Frazier, Christopher C. Drovandi
Robust Approximate Bayesian Inference With Synthetic Likelihood. J. Comput. Graph. Stat. 30 (4) (2021)
Ziwen An, David J. Nott, Christopher C. Drovandi
Robust Bayesian synthetic likelihood via a semi-parametric approach. Stat. Comput. 30 (3) (2020)
Steven Kleinegesse, Christopher C. Drovandi, Michael U. Gutmann
Sequential Bayesian Experimental Design for Implicit Models via Mutual Information. CoRR (2020)
S. G. J. Senarathne, Christopher C. Drovandi, James M. McGree
A Laplace-based algorithm for Bayesian adaptive design. Stat. Comput. 30 (5) (2020)
Abhishek Varghese, Christopher C. Drovandi, Antonietta Mira, Kerrie L. Mengersen
Estimating a novel stochastic model for within-field disease dynamics of banana bunchy top virus via approximate Bayesian computation. PLoS Comput. Biol. 16 (5) (2020)
David J. Warne, Scott A. Sisson, Christopher C. Drovandi
Acceleration of expensive computations in Bayesian statistics using vector operations. CoRR (2019)
Antony M. Overstall, James M. McGree, Christopher C. Drovandi
An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions. Stat. Comput. 28 (2) (2018)
Xing Ju Lee, Markus Hainy, James P. McKeone, Christopher C. Drovandi, Anthony N. Pettitt
ABC model selection for spatial extremes models applied to South Australian maximum temperature data. Comput. Stat. Data Anal. 128 (2018)
Victor M. H. Ong, David J. Nott, Minh-Ngoc Tran, Scott A. Sisson, Christopher C. Drovandi
Variational Bayes with synthetic likelihood. Stat. Comput. 28 (4) (2018)
Victor M. H. Ong, David J. Nott, Minh-Ngoc Tran, Scott A. Sisson, Christopher C. Drovandi
Likelihood-free inference in high dimensions with synthetic likelihood. Comput. Stat. Data Anal. 128 (2018)
Christopher C. Drovandi, Matthew T. Moores, Richard J. Boys
Accelerating pseudo-marginal MCMC using Gaussian processes. Comput. Stat. Data Anal. 118 (2018)
Andrew Bayor, Clifford Schmidt, Fidelis Dauri, Noel Wilson, Christopher C. Drovandi, Margot Brereton
The talking book: participatory design of an icon-based user interface for rural people with low literacy. AfriCHI (2018)
Xueou Wang, David J. Nott, Christopher C. Drovandi, Kerrie L. Mengersen, Michael Evans
Using History Matching for Prior Choice. Technometrics 60 (4) (2018)
Mahasen B. Dehideniya, Christopher C. Drovandi, James M. McGree
Optimal Bayesian design for discriminating between models with intractable likelihoods in epidemiology. Comput. Stat. Data Anal. 124 (2018)
James M. McGree, Christopher C. Drovandi, Gentry White, Anthony N. Pettitt
A pseudo-marginal sequential Monte Carlo algorithm for random effects models in Bayesian sequential design. Stat. Comput. 26 (5) (2016)
Matthew T. Moores, Christopher C. Drovandi, Kerrie L. Mengersen, Christian P. Robert
Pre-processing for approximate Bayesian computation in image analysis. Stat. Comput. 25 (1) (2015)
Elizabeth G. Ryan, Christopher C. Drovandi, Anthony N. Pettitt
Fully Bayesian Experimental Design for Pharmacokinetic Studies. Entropy 17 (3) (2015)
Elizabeth G. Ryan, Christopher C. Drovandi, Anthony N. Pettitt
Simulation-based fully Bayesian experimental design for mixed effects models. Comput. Stat. Data Anal. 92 (2015)
Brenda N. Vo, Christopher C. Drovandi, Anthony N. Pettitt, Graeme J. Pettet
Melanoma Cell Colony Expansion Parameters Revealed by Approximate Bayesian Computation. PLoS Comput. Biol. 11 (12) (2015)
Elizabeth G. Ryan, Christopher C. Drovandi, M. Helen Thompson, Anthony N. Pettitt
Towards Bayesian experimental design for nonlinear models that require a large number of sampling times. Comput. Stat. Data Anal. 70 (2014)
Christopher C. Drovandi, Anthony N. Pettitt, Robert D. Henderson, Pamela A. McCombe
Marginal reversible jump Markov chain Monte Carlo with application to motor unit number estimation. Comput. Stat. Data Anal. 72 (2014)
Christopher C. Drovandi, James M. McGree, Anthony N. Pettitt
Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data. Comput. Stat. Data Anal. 57 (1) (2013)
Christopher C. Drovandi, Anthony N. Pettitt
Likelihood-free Bayesian estimation of multivariate quantile distributions. Comput. Stat. Data Anal. 55 (9) (2011)