bayesian estimation 
Consideration was given to the Bayesian estimation in the multidimensional indefinitestochastic observation model using the minimax criterion with the generalized probabilistic risk functionals.


In the first case, nonlinear regression analysis is used in combination with successive Bayesian estimation.


The map is represented by an occupancy grid framework and updated by the Bayesian estimation mechanism.


A Bayesian estimation framework was chosen to build up a regularization scheme based on the weak membrane model.


Dynamic Bayesian estimation of displacement parameters of continuous curve box based on Novozhilov theory


Then the steps of dynamic Bayesian estimation were given in detail.


Bayesian estimation and testing of gene frequencies


Bayesian estimation ofgandk distributions using MCMC


Bayesian estimation of duration models: An application of the multiperiod probit model


The multiperiod probit model is presented and Bayesian estimation using the Gibbs sampler with data augmentation is described.


Bayesian estimation with unobserved heterogeneity is shown to be a simple extension of estimation of a duration model with no unobserved heterogeneity.


Bayesian estimation of social welfare and tax progressivity measures


Bayesian estimation of cointegrating thresholds in the term structure of interest rates


The linear inequality constraints are converted into prior information on the parameters with a uniform distribution, and consequently the LICA problem is reformulated into a Bayesian estimation problem.


The pharmacokinetics of amikacin has been studied in 40 intensive care unit patients using the bayesian estimation method implemented in the USC PC PACK program of Jelliffe.


For 20 patients randomly selected, the carboplatin clearance obtained by Bayesian estimation using two plasma ultrafiltrable concentrations was compared with that obtained by individual analysis using all concentrations.


Limited sampling strategies using Bayesian estimation or multilinear regression for cyclosporin AUC012 monitoring in cardiac tr


Bayesian estimation of doxorubicin pharmacokinetic parameters


The main pharmacokinetic parameters (halflives, total volume of distribution, total plasma clearance) were estimated in the test group by maximumlikelihood estimation using all samples and by Bayesian estimation using three samples.


Then, on the basis of total platinum plasma concentration measurements and Bayesian estimation of pharmacokinetic parameters, it was possible to individualize the CBDCA dose within the first 24 h of the infusion.

