Discrete approximation of multivariate densities with application to Bayesian estimation

DOI10.1016/0167-9473(84)90030-6zbMath0576.65149OpenAlexW2036635312MaRDI QIDQ1064775

Darryl Katz, David Z. D'Argenio

Publication date: 1984

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-9473(84)90030-6

zbMATH Keywords

discrete approximationpharmacokineticsNumerical resultsn-variate densityoptimal discrete approximationunivariate continuous density

Mathematics Subject Classification ID

Approximation by other special function classes (41A30) Probabilistic methods, stochastic differential equations (65C99) Statistical distribution theory (62E99)

Related Items (3)

Stochastic optimization algorithms of a Bayesian design criterion for Bayesian parameter estimation of nonlinear regression models: Application in pharmacokinetics ⋮ Incorporating prior parameter uncertainty in the design of sampling schedules for pharmacokinetic parameter estimation experiments ⋮ Nonparametric EM algorithms for estimating prior distributions

Cites Work

• Discrete approximations to continuous density functions that are \(L_ 1\) optimal
• Reduction of dimensionality in Bayesian nonlinear regression with a pharmacokinetic application

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