Bayesian internal dosimetry calculations using Markov Chain Monte Carlo

被引：32

作者：

Miller, G ^{[1
]}

Martz, HF ^{[1
]}

Little, TT ^{[1
]}

Guilmette, R ^{[1
]}

机构：

[1] Los Alamos Natl Lab, Los Alamos, NM 87545 USA

来源：

RADIATION PROTECTION DOSIMETRY | 2002年 / 98卷 / 02期

关键词：

D O I：

10.1093/oxfordjournals.rpd.a006709

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

A new numerical method for solving the inverse problem of internal dosimetry is described, The ne method uses Markov Chain Monte Carlo and the Metropolis algorithm. Multiple intake amounts, biokinetic types, and times of intake are determined from bioassay data by integrating over the Bayesian posterior distribution, The method appears definitive, but its application requires a large amount of computing time.

引用

页码：191 / 198

页数：8

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