Bayesian collocation tempering and generalized profiling for estimation of parameters from differential equation models
The widespread use of ordinary differential equation (ODE) models has long been underrepresented in the statistical literature. The most common methods for estimating parameters from ODE models are nonlinear least squares and an MCMC based method. Both of these methods depend on a likelihood involvi...
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| Format: | Others |
| Language: | en |
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McGill University
2007
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| Online Access: | http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=103368 |