List of works - Christopher C Drovandi

A comparison of approximate versus exact techniques for Bayesian parameter inference in nonlinear ordinary differential equation models

scientific article published on 11 March 2020

A new approach to estimating trends in chlamydia incidence

scientific article published on 06 January 2015

A sequential Monte Carlo approach to derive sampling times and windows for population pharmacokinetic studies.

scientific article published on 31 July 2012

Accelerating Bayesian Synthetic Likelihood With the Graphical Lasso

article by Ziwen An et al published 28 November 2018 in Journal of Computational and Graphical Statistics

Adaptive experimental design produces superior and more efficient estimates of predator functional response

scientific article published in 2023

Alive SMC(2) : Bayesian model selection for low-count time series models with intractable likelihoods

scientific article published on 19 November 2015

An efficient algorithm for estimating brain covariance networks

article

Analysing the predictive capacity and dose-response of wellness in load monitoring

scientific article published on 06 January 2021

Analysis of sloppiness in model simulations: Unveiling parameter uncertainty when mathematical models are fitted to data

Approximation of Bayesian Predictive $p$ -Values with Regression ABC

Bayesian Estimation of Small Effects in Exercise and Sports Science

scientific article

Bayesian Methods Might Solve the Problems with Magnitude-based Inference

scientific article published on 01 December 2018

Bayesian Synthetic Likelihood

article by L. F. Price et al published 31 July 2017 in Journal of Computational and Graphical Statistics

Bayesian adaptive design: improving the effectiveness of monitoring of the Great Barrier Reef.

scientific article published on 06 August 2016

Bayesian experimental design for models with intractable likelihoods

scientific article published on 16 October 2013

Comparisons of neurodegeneration over time between healthy ageing and Alzheimer's disease cohorts via Bayesian inference.

scientific article published on 07 February 2017

Developmental Trends in the Energy Cost of Physical Activities Performed by Youth

scientific article published on June 2016

Estimating a novel stochastic model for within-field disease dynamics of banana bunchy top virus via approximate Bayesian computation

scientific article published on 18 May 2020

Estimating mosquito abundance and population suppression in an incompatible insect technique study

scientific article published in 2023

Estimating parameters of a stochastic cell invasion model with fluorescent cell cycle labelling using approximate Bayesian computation

scientific article published on 22 September 2021

Estimation of parameters for macroparasite population evolution using approximate bayesian computation.

scientific article published in March 2011

Fully Bayesian Experimental Design for Pharmacokinetic Studies

Hindsight is 2020 vision: Characterisation of the global response to the COVID-19 pandemic

scientific article published on 05 May 2020

Joint-level energetics differentiate isoinertial from speed-power resistance training-a Bayesian analysis.

scientific article published on 12 April 2018

Likelihood-free inference in high dimensions with synthetic likelihood

article by Victor M.-H. Ong et al published December 2018 in Computational Statistics & Data Analysis

Melanoma Cell Colony Expansion Parameters Revealed by Approximate Bayesian Computation

scientific article

Model choice problems using approximate Bayesian computation with applications to pathogen transmission data sets

scientific article

Modelling environmental drivers of black band disease outbreaks in populations of foliose corals in the genus Montipora.

scientific article published on 12 June 2017

Multivariate Markov process models for the transmission of methicillin-resistant Staphylococcus aureus in a hospital ward.

scientific article published on 12 November 2007

Optimal experimental design for predator-prey functional response experiments

scientific article published on 01 July 2018

Particle Methods for Stochastic Differential Equation Mixed Effects Models

scientific article published in 2021

Principles of Experimental Design for Big Data Analysis

scientific article published on August 2017

Quantifying uncertainty in parameter estimates for stochastic models of collective cell spreading using approximate Bayesian computation.

scientific article published on 5 March 2015

Relative rate of change in cognitive score network dynamics via Bayesian hierarchical models reveal spatial patterns of neurodegeneration

scientific article published on 17 May 2020

Sampling methods for exploring between-subject variability in cardiac electrophysiology experiments.

scientific article

Slow Recovery of Excitability Increases Ventricular Fibrillation Risk as Identified by Emulation

scientific article published on 28 August 2018

The effect of access to a designated interdisciplinary post-acute rehabilitation service on participant outcomes after brain injury

scientific article published on 11 August 2020

The impact of environmental temperature deception on perceived exertion during fixed-intensity exercise in the heat in trained-cyclists

scientific article published on 19 June 2018

Unlocking data sets by calibrating populations of models to data density: A study in atrial electrophysiology

scientific article published on 10 January 2018

Using Approximate Bayesian Computation to Estimate Transmission Rates of Nosocomial Pathogens

article

Water quality mediates resilience on the Great Barrier Reef

scientific article published on 11 March 2019

List of works by Christopher C Drovandi

A comparison of approximate versus exact techniques for Bayesian parameter inference in nonlinear ordinary differential equation models

A new approach to estimating trends in chlamydia incidence

A sequential Monte Carlo approach to derive sampling times and windows for population pharmacokinetic studies.

Accelerating Bayesian Synthetic Likelihood With the Graphical Lasso

Adaptive experimental design produces superior and more efficient estimates of predator functional response

Alive SMC(2) : Bayesian model selection for low-count time series models with intractable likelihoods

An efficient algorithm for estimating brain covariance networks

Analysing the predictive capacity and dose-response of wellness in load monitoring

Analysis of sloppiness in model simulations: Unveiling parameter uncertainty when mathematical models are fitted to data

Approximation of Bayesian Predictive $p$ -Values with Regression ABC

Bayesian Estimation of Small Effects in Exercise and Sports Science

Bayesian Methods Might Solve the Problems with Magnitude-based Inference

Bayesian Synthetic Likelihood

Bayesian adaptive design: improving the effectiveness of monitoring of the Great Barrier Reef.

Bayesian experimental design for models with intractable likelihoods

Comparisons of neurodegeneration over time between healthy ageing and Alzheimer's disease cohorts via Bayesian inference.

Developmental Trends in the Energy Cost of Physical Activities Performed by Youth

Estimating a novel stochastic model for within-field disease dynamics of banana bunchy top virus via approximate Bayesian computation

Estimating mosquito abundance and population suppression in an incompatible insect technique study

Estimating parameters of a stochastic cell invasion model with fluorescent cell cycle labelling using approximate Bayesian computation

Estimation of parameters for macroparasite population evolution using approximate bayesian computation.

Fully Bayesian Experimental Design for Pharmacokinetic Studies

Hindsight is 2020 vision: Characterisation of the global response to the COVID-19 pandemic

Joint-level energetics differentiate isoinertial from speed-power resistance training-a Bayesian analysis.

Likelihood-free inference in high dimensions with synthetic likelihood

Melanoma Cell Colony Expansion Parameters Revealed by Approximate Bayesian Computation

Model choice problems using approximate Bayesian computation with applications to pathogen transmission data sets

Modelling environmental drivers of black band disease outbreaks in populations of foliose corals in the genus Montipora.

Multivariate Markov process models for the transmission of methicillin-resistant Staphylococcus aureus in a hospital ward.

Optimal experimental design for predator-prey functional response experiments

Particle Methods for Stochastic Differential Equation Mixed Effects Models

Principles of Experimental Design for Big Data Analysis

Quantifying uncertainty in parameter estimates for stochastic models of collective cell spreading using approximate Bayesian computation.

Relative rate of change in cognitive score network dynamics via Bayesian hierarchical models reveal spatial patterns of neurodegeneration

Sampling methods for exploring between-subject variability in cardiac electrophysiology experiments.

Slow Recovery of Excitability Increases Ventricular Fibrillation Risk as Identified by Emulation

The effect of access to a designated interdisciplinary post-acute rehabilitation service on participant outcomes after brain injury

The impact of environmental temperature deception on perceived exertion during fixed-intensity exercise in the heat in trained-cyclists

Unlocking data sets by calibrating populations of models to data density: A study in atrial electrophysiology

Using Approximate Bayesian Computation to Estimate Transmission Rates of Nosocomial Pathogens

Water quality mediates resilience on the Great Barrier Reef