Search Results - "Drovandi, C."
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Estimation of Parameters for Macroparasite Population Evolution Using Approximate Bayesian Computation
Published in Biometrics (01-03-2011)“…We estimate the parameters of a stochastic process model for a macroparasite population within a host using approximate Bayesian computation (ABC). The…”
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A Review of Modern Computational Algorithms for Bayesian Optimal Design
Published in International statistical review (01-04-2016)“…Bayesian experimental design is a fast growing area of research with many real-world applications. As computational power has increased over the years, so has…”
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3
Bayesian detectability of induced polarization in airborne electromagnetic data
Published in Geophysical journal international (01-12-2023)“…SUMMARY Detection of induced polarization (IP) effects in airborne electromagnetic measurements does not yet have an established methodology. This work…”
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Bayesian Indirect Inference Using a Parametric Auxiliary Model
Published in Statistical science (01-02-2015)“…Indirect inference (II) is a methodology for estimating the parameters of an intractable (generative) model on the basis of an alternative parametric…”
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Bayesian Estimation of Small Effects in Exercise and Sports Science
Published in PloS one (13-04-2016)“…The aim of this paper is to provide a Bayesian formulation of the so-called magnitude-based inference approach to quantifying and interpreting effects, and in…”
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LooplessFluxSampler: an efficient toolbox for sampling the loopless flux solution space of metabolic models
Published in BMC bioinformatics (02-01-2024)“…Uniform random sampling of mass-balanced flux solutions offers an unbiased appraisal of the capabilities of metabolic networks. Unfortunately, it is impossible…”
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7
A Laplace-based algorithm for Bayesian adaptive design
Published in Statistics and computing (01-09-2020)“…This article presents a novel Laplace-based algorithm that can be used to find Bayesian adaptive designs under model and parameter uncertainty. Our algorithm…”
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Author Correction: Taller staff occupationally exposed to less radiation to the temple in cardiac procedures, but risk higher doses during vascular cases
Published in Scientific reports (30-12-2020)“…An amendment to this paper has been published and can be accessed via a link at the top of the paper…”
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The impact of environmental temperature deception on perceived exertion during fixed-intensity exercise in the heat in trained-cyclists
Published in Physiology & behavior (01-10-2018)“…This study examined the effect of environmental temperature deception on the rating of perceived exertion (RPE) during 30 min of fixed-intensity cycling in the…”
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An efficient algorithm for estimating brain covariance networks
Published in PloS one (12-07-2018)“…Often derived from partial correlations or many pairwise analyses, covariance networks represent the inter-relationships among regions and can reveal important…”
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11
Slow Recovery of Excitability Increases Ventricular Fibrillation Risk as Identified by Emulation
Published in Frontiers in physiology (28-08-2018)“…Rotor stability and meandering are key mechanisms determining and sustaining cardiac fibrillation, with important implications for anti-arrhythmic drug…”
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Fully Bayesian Experimental Design for Pharmacokinetic Studies
Published in Entropy (Basel, Switzerland) (01-03-2015)“…Utility functions in Bayesian experimental design are usually based on the posterior distribution. When the posterior is found by simulation, it must be…”
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Bayesian sequential design for Copula models
Published in Test (Madrid, Spain) (01-06-2020)“…Bayesian design requires determining the value of controllable variables in an experiment to maximise the information that will be obtained for subsequently…”
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14
Melanoma Cell Colony Expansion Parameters Revealed by Approximate Bayesian Computation
Published in PLoS computational biology (01-12-2015)“…In vitro studies and mathematical models are now being widely used to study the underlying mechanisms driving the expansion of cell colonies. This can improve…”
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15
A comparison of approximate versus exact techniques for Bayesian parameter inference in nonlinear ordinary differential equation models
Published in Royal Society open science (01-03-2020)“…The behaviour of many processes in science and engineering can be accurately described by dynamical system models consisting of a set of ordinary differential…”
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Sampling methods for exploring between-subject variability in cardiac electrophysiology experiments
Published in Journal of the Royal Society interface (01-08-2016)“…Between-subject and within-subject variability is ubiquitous in biology and physiology, and understanding and dealing with this is one of the biggest…”
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A pseudo-marginal sequential Monte Carlo algorithm for random effects models in Bayesian sequential design
Published in Statistics and computing (01-09-2016)“…Motivated by the need to sequentially design experiments for the collection of data in batches or blocks, a new pseudo-marginal sequential Monte Carlo…”
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18
Joint-level energetics differentiate isoinertial from speed-power resistance training-a Bayesian analysis
Published in PeerJ (San Francisco, CA) (12-04-2018)“…There is convincing evidence for the benefits of resistance training on vertical jump improvements, but little evidence to guide optimal training prescription…”
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Modelling environmental drivers of black band disease outbreaks in populations of foliose corals in the genus Montipora
Published in PeerJ (San Francisco, CA) (12-06-2017)“…Seawater temperature anomalies associated with warming climate have been linked to increases in coral disease outbreaks that have contributed to coral reef…”
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A sequential Monte Carlo approach to derive sampling times and windows for population pharmacokinetic studies
Published in Journal of pharmacokinetics and pharmacodynamics (01-10-2012)“…Here we present a sequential Monte Carlo approach that can be used to find optimal designs. Our focus is on the design of population pharmacokinetic studies…”
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