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A global Monte-Carlo method for fitting parameters of differential equation models
global Monte-Carlo method fitting parameters Quantitative Methods
2011/10/8
Abstract: Finding the parameter values of differential equation models from data is an important part of the modelling process. Large models and sparse data often make the parameters very difficult to...
MIXED EFFECTS IN STOCHASTIC DIFFERENTIAL EQUATION MODELS
maximum likelihood pharmacokinetics population estimates random eects repeated measurements stochastic processes
2009/2/26
A class of statistical models is proposed where random e®ects are incorporated into a
stochastic di®erential equations model, and an expression for the likelihood function
is derived. In gen...