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Philip Maybank

Philip John Maybank

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2020 – today

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2020
[c1]
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  - conf/iccS/MaybankPNB20
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Philip Maybank, Patrick Peltzer, Uwe Naumann, Ingo Bojak:
MCMC for Bayesian Uncertainty Quantification from Time-Series Data. ICCS (7) 2020: 707-718

2010 – 2019

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2019
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Philip Maybank:
Bayesian inference for stable differential equation models with applications in computational neuroscience. University of Reading, Berkshire, UK, 2019
2017
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  - journals/corr/abs-1710-04382
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Richard G. Everitt, Dennis Prangle, Philip Maybank, Mark Bell:
Marginal sequential Monte Carlo for doubly intractable models. CoRR abs/1710.04382 (2017)
2013
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Anna Sher, Ken Wang, Andrew J. Wathen, Philip John Maybank, Gary R. Mirams, David Abramson, Denis Noble, David Gavaghan:
A local sensitivity analysis method for developing biological models with identifiable parameters: Application to cardiac ionic channel modelling. Future Gener. Comput. Syst. 29(2): 591-598 (2013)

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