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Christopher C Drovandi

Showing results (1-10 of 21) with videos related to

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Biometrics|October 18, 2013
Bayesian experimental design for models with intractable likelihoodsChristopher C Drovandi, Anthony N Pettitt
Biometrics|November 20, 2015
Alive SMC(2) : Bayesian model selection for low-count time series models with intractable likelihoodsChristopher C Drovandi, Roy A McCutchan
Journal of Physical Activity & Health|July 9, 2016
Developmental Trends in the Energy Cost of Physical Activities Performed by YouthStewart G Trost, Christopher C Drovandi, Karin Pfeiffer
Biometrics|October 11, 2014
Model choice problems using approximate Bayesian computation with applications to pathogen transmission data setsXing Ju Lee, Christopher C Drovandi, Anthony N Pettitt
Journal of the Royal Society, Interface|July 20, 2018
Optimal experimental design for predator-prey functional response experimentsJeff F Zhang, Nikos E Papanikolaou, Theodore Kypraios, et al.
BMC Bioinformatics|January 3, 2024
LooplessFluxSampler: an efficient toolbox for sampling the loopless flux solution space of metabolic modelsPedro A Saa, Sebastian Zapararte, Christopher C Drovandi, et al.
Medicine and Science in Sports and Exercise|November 16, 2018
Bayesian Methods Might Solve the Problems with Magnitude-based InferenceDavid N Borg, Geoffrey M Minett, Ian B Stewart, et al.
Mathematical Biosciences|March 10, 2015
Quantifying uncertainty in parameter estimates for stochastic models of collective cell spreading using approximate Bayesian computationBrenda N Vo, Christopher C Drovandi, Anthony N Pettitt, et al.
Plos Computational Biology|December 8, 2015
Melanoma Cell Colony Expansion Parameters Revealed by Approximate Bayesian ComputationBrenda N Vo, Christopher C Drovandi, Anthony N Pettitt, et al.
Frontiers in Physiology|September 14, 2018
Slow Recovery of Excitability Increases Ventricular Fibrillation Risk as Identified by EmulationBrodie A Lawson, Kevin Burrage, Pamela Burrage, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Biometrics|October 18, 2013
Bayesian experimental design for models with intractable likelihoodsChristopher C Drovandi, Anthony N Pettitt
Biometrics|November 20, 2015
Alive SMC(2) : Bayesian model selection for low-count time series models with intractable likelihoodsChristopher C Drovandi, Roy A McCutchan
Journal of Physical Activity & Health|July 9, 2016
Developmental Trends in the Energy Cost of Physical Activities Performed by YouthStewart G Trost, Christopher C Drovandi, Karin Pfeiffer
Biometrics|October 11, 2014
Model choice problems using approximate Bayesian computation with applications to pathogen transmission data setsXing Ju Lee, Christopher C Drovandi, Anthony N Pettitt
Journal of the Royal Society, Interface|July 20, 2018
Optimal experimental design for predator-prey functional response experimentsJeff F Zhang, Nikos E Papanikolaou, Theodore Kypraios, et al.
BMC Bioinformatics|January 3, 2024
LooplessFluxSampler: an efficient toolbox for sampling the loopless flux solution space of metabolic modelsPedro A Saa, Sebastian Zapararte, Christopher C Drovandi, et al.
Medicine and Science in Sports and Exercise|November 16, 2018
Bayesian Methods Might Solve the Problems with Magnitude-based InferenceDavid N Borg, Geoffrey M Minett, Ian B Stewart, et al.
Mathematical Biosciences|March 10, 2015
Quantifying uncertainty in parameter estimates for stochastic models of collective cell spreading using approximate Bayesian computationBrenda N Vo, Christopher C Drovandi, Anthony N Pettitt, et al.
Plos Computational Biology|December 8, 2015
Melanoma Cell Colony Expansion Parameters Revealed by Approximate Bayesian ComputationBrenda N Vo, Christopher C Drovandi, Anthony N Pettitt, et al.
Frontiers in Physiology|September 14, 2018
Slow Recovery of Excitability Increases Ventricular Fibrillation Risk as Identified by EmulationBrodie A Lawson, Kevin Burrage, Pamela Burrage, et al.
Pageof 3