PMID: 11926369Apr 3, 2002Paper

Bayesian internal dosimetry calculations using Markov Chain Monte Carlo

Radiation Protection Dosimetry
G MillerRay Guilmette

Abstract

A new numerical method for solving the inverse problem of internal dosimetry is described. The new 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.

Citations

Apr 1, 2008·Radiation Protection Dosimetry·G MillerW F Eisele
Aug 12, 2008·Radiation Protection Dosimetry·G MillerY V Zaytseva
Sep 23, 2008·Radiation Protection Dosimetry·M Puncher, A Birchall
Nov 28, 2009·Radiation Protection Dosimetry·Guthrie MillerLuiz Bertelli
Aug 31, 2016·Radiation Protection Dosimetry·Alan BirchallVadim Vostrotin
Sep 15, 2010·Health Physics·Luiz BertelliRaymond A Guilmette
Sep 10, 2010·Journal of Radiological Protection : Official Journal of the Society for Radiological Protection·D GregorattoJ W Marsh
Feb 28, 2008·Health Physics·G MillerL Bertelli
May 26, 2005·Radiation Protection Dosimetry·James W MarshAlan Birchall
Jan 18, 2006·Radiation Protection Dosimetry·M PuncherA Birchall
Oct 24, 2015·Annals of the ICRP·F PaquetUNKNOWN ICRP
Jun 8, 2017·Radiation Protection Dosimetry·D PoudelR A Guilmette
Dec 1, 2018·Health Physics·Deepesh PoudelTom L Waters
Nov 14, 2020·Journal of Radiological Protection : Official Journal of the Society for Radiological Protection·Deepesh PoudelSergei Y Tolmachev

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