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ORCIDChristopher C. Drovandi
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2020 – today
- 2024
[j40]Pedro A. Saa
, Sebastian Zapararte, Christopher C. Drovandi, Lars Keld Nielsen:
LooplessFluxSampler: an efficient toolbox for sampling the loopless flux solution space of metabolic models. BMC Bioinform. 25(1): 3 (2024)- [j39]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): 101-111 (2024) - [j38]Brodie A. J. Lawson, Christopher C. Drovandi, Pamela M. Burrage, Alfonso Bueno-Orovio, Rodrigo Weber dos Santos, Blanca Rodríguez, Kerrie L. Mengersen, Kevin Burrage:
Perlin noise generation of physiologically realistic cardiac fibrosis. Medical Image Anal. 98: 103240 (2024) - [j37]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): 50 (2024) - [j36]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) - [i4]Xiaoyu Wang, Ryan P. Kelly, David J. Warne, Christopher C. Drovandi:
Preconditioned Neural Posterior Estimation for Likelihood-free Inference. CoRR abs/2404.13557 (2024) - 2023
- [j35]Jacob W. Priddle, Christopher C. Drovandi:
Transformations in semi-parametric Bayesian synthetic likelihood. Comput. Stat. Data Anal. 187: 107797 (2023) - [j34]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: 105578 (2023) - [j33]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: 105786 (2023) - [j32]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): 33 (2023) - [j31]Imke Botha, Robert Kohn, Leah F. South, Christopher C. Drovandi:
Automatically adapting the number of state particles in SMC2. Stat. Comput. 33(4): 82 (2023) - [c4]Laurence Davies, Robert Salomone, Matthew Sutton, Chris Drovandi:
Transport Reversible Jump Proposals. AISTATS 2023: 6839-6852 - [i3]Ryan P. Kelly, David J. Nott, David T. Frazier, David J. Warne, Chris Drovandi:
Misspecification-robust Sequential Neural Likelihood. CoRR abs/2301.13368 (2023) - 2022
- [j30]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): 50-63 (2022) - [j29]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) - [j28]Daniel J. Vandenheuvel, Christopher C. Drovandi, Matthew J. Simpson:
Computationally efficient mechanism discovery for cell invasion with uncertainty quantification. PLoS Comput. Biol. 18(11): 1010599 (2022) - [j27]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): 1010734 (2022) - [j26]Markus Hainy, David J. Price, Olivier Restif, Christopher C. Drovandi:
Optimal Bayesian design for model discrimination via classification. Stat. Comput. 32(2): 25 (2022) - [j25]Christopher C. Drovandi, David T. Frazier:
A comparison of likelihood-free methods with and without summary statistics. Stat. Comput. 32(3): 42 (2022) - 2021
- [j24]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: 104919 (2021) - [j23]David T. Frazier, Christopher C. Drovandi:
Robust Approximate Bayesian Inference With Synthetic Likelihood. J. Comput. Graph. Stat. 30(4): 958-976 (2021) - [j22]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): 1034-1063 (2021) - [j21]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: 102143 (2021) - [j20]Joshua J. Bon, Anthony Lee, Christopher C. Drovandi:
Accelerating sequential Monte Carlo with surrogate likelihoods. Stat. Comput. 31(5): 62 (2021) - [c3]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: 1-4 - 2020
- [j19]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) - [j18]Ziwen An, David J. Nott, Christopher C. Drovandi:
Robust Bayesian synthetic likelihood via a semi-parametric approach. Stat. Comput. 30(3): 543-557 (2020) - [j17]S. G. J. Senarathne, Christopher C. Drovandi, James M. McGree:
A Laplace-based algorithm for Bayesian adaptive design. Stat. Comput. 30(5): 1183-1208 (2020) - [i2]Steven Kleinegesse, Christopher C. Drovandi, Michael U. Gutmann:
Sequential Bayesian Experimental Design for Implicit Models via Mutual Information. CoRR abs/2003.09379 (2020)
2010 – 2019
- 2019
- [i1]David J. Warne, Scott A. Sisson, Christopher C. Drovandi:
Acceleration of expensive computations in Bayesian statistics using vector operations. CoRR abs/1902.09046 (2019) - 2018
- [j16]Christopher C. Drovandi, Matthew T. Moores, Richard J. Boys:
Accelerating pseudo-marginal MCMC using Gaussian processes. Comput. Stat. Data Anal. 118: 1-17 (2018) - [j15]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: 277-297 (2018) - [j14]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: 128-144 (2018) - [j13]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: 271-291 (2018) - [j12]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): 343-358 (2018) - [j11]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): 971-988 (2018) - [j10]Xueou Wang, David J. Nott, Christopher C. Drovandi, Kerrie L. Mengersen, Michael Evans:
Using History Matching for Prior Choice. Technometrics 60(4): 445-460 (2018) - [c2]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: 3:1-3:10 - 2017
- [c1]Brodie Lawson, Chris Drovandi, Pamela M. Burrage, Blanca Rodríguez, Kevin Burrage:
Dimension Reduction for the Emulation of Cardiac Electrophysiology Models for Single Cells and Tissue. CinC 2017 - 2016
- [j9]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): 1121-1136 (2016) - 2015
- [j8]Elizabeth G. Ryan, Christopher C. Drovandi, Anthony N. Pettitt:
Simulation-based fully Bayesian experimental design for mixed effects models. Comput. Stat. Data Anal. 92: 26-39 (2015) - [j7]Elizabeth G. Ryan, Christopher C. Drovandi, Anthony N. Pettitt:
Fully Bayesian Experimental Design for Pharmacokinetic Studies. Entropy 17(3): 1063-1089 (2015) - [j6]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) - [j5]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): 23-33 (2015) - 2014
- [j4]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: 45-60 (2014) - [j3]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: 128-146 (2014) - 2013
- [j2]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): 320-335 (2013) - 2011
- [j1]Christopher C. Drovandi, Anthony N. Pettitt:
Likelihood-free Bayesian estimation of multivariate quantile distributions. Comput. Stat. Data Anal. 55(9): 2541-2556 (2011)
Coauthor Index
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