Reduction of dimensionality in Bayesian nonlinear regression with a pharmacokinetic application

Application of Bayes's theorem to the analysis of nonlinear regression models is limited by numerical problems associated with calculation of integrals of functions of several variables. For k-parameter models that are linear in l of the parameters, a dimension-reduction procedure is described...

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Veröffentlicht in:	Mathematical biosciences 1982, Vol.59 (1), p.47-56
Hauptverfasser:	Katz, D., Schumitzky, A., Azen, S.P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian analysis lidocaine pharmacokinetics regression analysis statistical analysis
Online-Zugang:	Volltext
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