Christopher C. Drovandi
Orcid: 0000-0001-9222-8763
According to our database1,
Christopher C. Drovandi
authored at least 44 papers
between 2011 and 2024.
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Bibliography
2024
LooplessFluxSampler: an efficient toolbox for sampling the loopless flux solution space of metabolic models.
BMC Bioinform., December, 2024
Stat. Comput., February, 2024
2023
Comput. Stat. Data Anal., November, 2023
The effect of biologically mediated decay rates on modelling soil carbon sequestration in agricultural settings.
Environ. Model. Softw., October, 2023
Stat. Comput., August, 2023
Stat. Comput., February, 2023
Strategic model reduction by analysing model sloppiness: A case study in coral calcification.
Environ. Model. Softw., 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
Computationally efficient mechanism discovery for cell invasion with uncertainty quantification.
PLoS Comput. Biol., November, 2022
Efficient inference and identifiability analysis for differential equation models with random parameters.
PLoS Comput. Biol., November, 2022
Stat. Comput., 2022
Stat. Comput., 2022
BSL: An R Package for Efficient Parameter Estimation for Simulation-Based Models via Bayesian Synthetic Likelihood.
J. Stat. Softw., 2022
J. Comput. Graph. Stat., 2022
2021
Inference of ventricular activation properties from non-invasive electrocardiography.
Medical Image Anal., 2021
SIAM/ASA J. Uncertain. Quantification, 2021
J. Comput. Graph. Stat., 2021
Advanced Bayesian approaches for state-space models with a case study on soil carbon sequestration.
Environ. Model. Softw., 2021
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
Stat. Comput., 2020
Estimating a novel stochastic model for within-field disease dynamics of banana bunchy top virus via approximate Bayesian computation.
PLoS Comput. Biol., 2020
CoRR, 2020
2019
Acceleration of expensive computations in Bayesian statistics using vector operations.
CoRR, 2019
2018
An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions.
Stat. Comput., 2018
Comput. Stat. Data Anal., 2018
ABC model selection for spatial extremes models applied to South Australian maximum temperature data.
Comput. Stat. Data Anal., 2018
Comput. Stat. Data Anal., 2018
Optimal Bayesian design for discriminating between models with intractable likelihoods in epidemiology.
Comput. Stat. Data Anal., 2018
The talking book: participatory design of an icon-based user interface for rural people with low literacy.
Proceedings of the Second African Conference for Human Computer Interaction: Thriving Communities, 2018
2017
Dimension Reduction for the Emulation of Cardiac Electrophysiology Models for Single Cells and Tissue.
Proceedings of the Computing in Cardiology, 2017
2016
A pseudo-marginal sequential Monte Carlo algorithm for random effects models in Bayesian sequential design.
Stat. Comput., 2016
2015
Stat. Comput., 2015
Melanoma Cell Colony Expansion Parameters Revealed by Approximate Bayesian Computation.
PLoS Comput. Biol., 2015
Comput. Stat. Data Anal., 2015
2014
Towards Bayesian experimental design for nonlinear models that require a large number of sampling times.
Comput. Stat. Data Anal., 2014
Marginal reversible jump Markov chain Monte Carlo with application to motor unit number estimation.
Comput. Stat. Data Anal., 2014
2013
Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data.
Comput. Stat. Data Anal., 2013
2011
Comput. Stat. Data Anal., 2011