Zobrazeno 1 - 10
of 150
pro vyhledávání: '"Christopher C Drovandi"'
Autor:
Marcela I Cespedes, James McGree, Christopher C Drovandi, Kerrie Mengersen, James D Doecke, Jurgen Fripp, Alzheimer’s Disease Neuroimaging Initiative
Publikováno v:
PLoS ONE, Vol 13, Iss 7, p e0198583 (2018)
Often derived from partial correlations or many pairwise analyses, covariance networks represent the inter-relationships among regions and can reveal important topological structures in brain measures from healthy and pathological subjects. However b
Externí odkaz:
https://doaj.org/article/e5aad8d02bc74865a7bcc658232bcabe
Autor:
Kerrie L Mengersen, Christopher C Drovandi, Christian P Robert, David B Pyne, Christopher J Gore
Publikováno v:
PLoS ONE, Vol 11, Iss 4, p e0147311 (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 a case study example provide accurate probabilistic statements that correspond to the inten
Externí odkaz:
https://doaj.org/article/27cda8570e2e41d6bdb3f81dd6d80b78
Publikováno v:
PLoS Computational Biology, Vol 11, Iss 12, p e1004635 (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 our understanding of cancer formation and progression. Although much progress has been made
Externí odkaz:
https://doaj.org/article/7b0d1cbe49bb4ab0959a89b7d19b8599
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-8 (2024)
Abstract Background Uniform random sampling of mass-balanced flux solutions offers an unbiased appraisal of the capabilities of metabolic networks. Unfortunately, it is impossible to avoid thermodynamically infeasible loops in flux samples when using
Externí odkaz:
https://doaj.org/article/a4a51a71659541a9b4a9a796cf63dcea
Publikováno v:
Journal of Computational and Graphical Statistics. 31:50-63
Likelihood-free methods are an established approach for performing approximate Bayesian inference for models with intractable likelihood functions. However, they can be computationally demanding. B...
Autor:
Davide Fontanarosa, Vicki L. Clifton, Christopher Edwards, Christopher C. Drovandi, Danielle J. Borg, Erika Cavanagh, Sailesh Kumar, Marie-Luise Wille, Jacob W. Priddle
Publikováno v:
Placenta. 114:83-89
Introduction Research into the role of ultrasound elastography to assess compromised placental tissue is ongoing. There is particular interest in evaluating its potential in the investigation of changes associated with uteroplacental dysfunction. To
Publikováno v:
Bayesian Analysis. 17
Many applications in Bayesian statistics are extremely computationally intensive. However, they are often inherently parallel, making them prime targets for modern massively parallel processors. Multi-core and distributed computing is widely applied
Publikováno v:
SIAM/ASA Journal on Uncertainty Quantification. 9:1034-1063
The aim of the history matching method is to locate nonimplausible regions of the parameter space of complex deterministic or stochastic models by matching model outputs with data. It does this via...
Autor:
Christopher C. Drovandi, Caroline O. Terranova, Kerry-Ann F. O'Grady, Ian Brent Masters, Taryn Jones, Vikas Goyal, Gabrielle B. McCallum, Anne B. Chang, Emmah Baque, Denise S.K. Brookes, Thomas Lung, Stewart G. Trost
Publikováno v:
Trials. 23
Background Globally, bronchiectasis (BE) unrelated to cystic fibrosis (CF) is recognized as a major cause of respiratory morbidity, mortality, and healthcare utilization. Children with BE regularly experience exacerbations of their condition resultin
Autor:
David N. Borg, Elizabeth Beadle, Michele Foster, Jennifer Fleming, Jaycie K. Bohan, Areti Kennedy, Kerrin Watter, Mandy Nielsen, Christopher C. Drovandi
Publikováno v:
Brain Injury. 34:1358-1366
Objective: This study aimed to determine the influence of participation in a designated acquired brain injury (ABI) transitional rehabilitation service (ABI TRS) on outcome, in the context of a historical comparison group (HIST). Design: A cohort stu