Nonparametric EM algorithms for estimating prior distributions

DOI10.1016/0096-3003(91)90077-ZzbMath0741.65111OpenAlexW2018986965MaRDI QIDQ1179795

Alan Schumitzky

Publication date: 27 June 1992

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0096-3003(91)90077-z

zbMATH Keywords

convergenceEM algorithmmaximum likelihood estimatorpharmacokinetic modelsprior distributiondistribution of parameters

Mathematics Subject Classification ID

Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Probabilistic methods, stochastic differential equations (65C99)

Related Items (9)

Bayesian parametric inference in a nonparametric framework ⋮ Stochastic optimization algorithms of a Bayesian design criterion for Bayesian parameter estimation of nonlinear regression models: Application in pharmacokinetics ⋮ A comparison of approximation methods for the estimation of probability distributions on parameters ⋮ Comparison of nonparametric methods in nonlinear mixed effects models ⋮ Nonlinear nonparametric mixed-effects models for unsupervised classification ⋮ A General Maximum Likelihood Analysis of Variance Components in Generalized Linear Models ⋮ On nonparametric maximum likelihood for a class of stochastic inverse problems ⋮ Random effects diagonal metric multidimensional scaling models ⋮ Nonparametric estimation of blood alcohol concentration from transdermal alcohol measurements using alcohol biosensor devices

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