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Bayesian internal dosimetry calculations using Markov Chain Monte Carlo.
| Content Provider | Semantic Scholar |
|---|---|
| Author | Miller, Guthrie Martz, Harry F. Little, Tom T. Guilmette, Raymond A. |
| Copyright Year | 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. |
| Starting Page | 197 |
| Ending Page | 203 |
| Page Count | 7 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.lanl.gov/bayesian/docs/bayesian-internal-dosimetry-cal.pdf |
| PubMed reference number | 11926369v1 |
| Volume Number | 98 |
| Issue Number | 2 |
| Journal | Radiation protection dosimetry |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Biological Assay Computation (action) Immunoglobulin lambda-Chains Leucaena pulverulenta Monte Carlo Method Radiometry algorithm |
| Content Type | Text |
| Resource Type | Article |
