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Bayesian internal dosimetry calculations using Markov Chain Monte Carlo
G Miller1, H F Martz, T T Little
1Los Alamos National Laboratory, NM 87545, USA. guthrie@lanl.gov
Radiation Protection Dosimetry
|April 3, 2002
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.