Kullback-leibler information approach to the optimum measurement point for bayesian estimation

DOI10.1080/03610929608831711zbMath0875.62128OpenAlexW2017428002MaRDI QIDQ4337137

Makio Ishiguro, Genshiro Kitagawa, Akifumi Yafune

Publication date: 11 November 1997

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929608831711

zbMATH Keywords

predictionMonte Carlo procedurepharmacokinetic analysisrejection/acceptance algorithm

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

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• Bayesian Methods in Practice: Experiences in the Pharmaceutical Industry
• The use of prior distributions in the design of experiments for parameter estimation in non-linear situations
• On Information and Sufficiency
• Tools for statistical inference. Methods for the exploration of posterior distributions and likelihood functions.

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