Multiphase MCMC Sampling for Parameter Inference in Nonlinear Ordinary Differential Equations

Lazarus, A., Husmeier, D. and Papamarkou, T. (2018) Multiphase MCMC Sampling for Parameter Inference in Nonlinear Ordinary Differential Equations. In: The 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018), Lanzarote, Canary Islands, 9-11 Apr 2018, (Accepted for Publication)

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Item Type:Conference Proceedings
Status:Accepted for Publication
Refereed:Yes
Glasgow Author(s) Enlighten ID:Husmeier, Professor Dirk and Papamarkou, Dr Theodore and Lazarus, Alan
Authors: Lazarus, A., Husmeier, D., and Papamarkou, T.
College/School:College of Science and Engineering > School of Mathematics and Statistics > Statistics
ISSN:1938-7228
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
633291Computational inference in systems biologyDirk HusmeierEngineering and Physical Sciences Research Council (EPSRC)EP/L020319/1M&S - STATISTICS
694461EPSRC Centre for Multiscale soft tissue mechanics with application to heart & cancerRaymond OgdenEngineering and Physical Sciences Research Council (EPSRC)EP/N014642/1M&S - MATHEMATICS