Bayesian Prior Probability Distributions for Internal Dosimetry
The problem of choosing a prior distribution for the Bayesian interpretation of measurements (specifically internal dosimetry measurements) is considered using a theoretical analysis and by examining historical tritium and plutonium urine bioassay data from Los Alamos. Two models for the prior proba...
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| Veröffentlicht in: | Radiation protection dosimetry 2001-01, Vol.94 (4), p.347-352 |
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| container_end_page | 352 |
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| container_issue | 4 |
| container_start_page | 347 |
| container_title | Radiation protection dosimetry |
| container_volume | 94 |
| creator | Miller, G. Inkret, W.C. Little, T.T. Martz, H.F. Schillaci, M.E. |
| description | The problem of choosing a prior distribution for the Bayesian interpretation of measurements (specifically internal dosimetry measurements) is considered using a theoretical analysis and by examining historical tritium and plutonium urine bioassay data from Los Alamos. Two models for the prior probability distribution are proposed: (1) the log-normal distribution, when there is some additional information to determine the scale of the true result, and (2) the 'alpha' distribution (a simplified variant of the gamma distribution) when there is not. These models have been incorporated into version 3 of the Bayesian internal dosimetric code in use at Los Alamos (downloadable from our web site). Plutonium internal dosimetry at Los Alamos is now being done using prior probability distribution parameters determined self-consistently from population averages of Los Alamos data. |
| doi_str_mv | 10.1093/oxfordjournals.rpd.a006509 |
| format | Article |
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Two models for the prior probability distribution are proposed: (1) the log-normal distribution, when there is some additional information to determine the scale of the true result, and (2) the 'alpha' distribution (a simplified variant of the gamma distribution) when there is not. These models have been incorporated into version 3 of the Bayesian internal dosimetric code in use at Los Alamos (downloadable from our web site). Plutonium internal dosimetry at Los Alamos is now being done using prior probability distribution parameters determined self-consistently from population averages of Los Alamos data.</description><identifier>ISSN: 0144-8420</identifier><identifier>EISSN: 1742-3406</identifier><identifier>DOI: 10.1093/oxfordjournals.rpd.a006509</identifier><identifier>PMID: 11499438</identifier><identifier>CODEN: RPDODE</identifier><language>eng</language><publisher>Oxford: Oxford University Press</publisher><subject>Applied radiobiology (equipment, dosimetry...) ; Bayes Theorem ; Biological and medical sciences ; Biological Assay ; Biological effects of radiation ; Fundamental and applied biological sciences. 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Two models for the prior probability distribution are proposed: (1) the log-normal distribution, when there is some additional information to determine the scale of the true result, and (2) the 'alpha' distribution (a simplified variant of the gamma distribution) when there is not. These models have been incorporated into version 3 of the Bayesian internal dosimetric code in use at Los Alamos (downloadable from our web site). Plutonium internal dosimetry at Los Alamos is now being done using prior probability distribution parameters determined self-consistently from population averages of Los Alamos data.</description><subject>Applied radiobiology (equipment, dosimetry...)</subject><subject>Bayes Theorem</subject><subject>Biological and medical sciences</subject><subject>Biological Assay</subject><subject>Biological effects of radiation</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Humans</subject><subject>New Mexico</subject><subject>Plutonium - urine</subject><subject>Radiometry</subject><subject>Tissues, organs and organisms biophysics</subject><subject>Tritium - urine</subject><issn>0144-8420</issn><issn>1742-3406</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkNtKxDAQhoMouq6-ghQF77ommzQHb8SzC4LiCfEmJGkC0W6zJi24b29ki-LNzMV8M__wAbCP4ARBgY_Clwuxfg99bFWTJnFRTxSEtIJiDYwQI9MSE0jXwQgiQkpOpnALbKf0DuGUiYpsgi2EiBAE8xE4OVNLm7xqi_voQ8w1aKV947tlceFTF73uOx_aVOTMYtZ29ie0uAjJz20Xlztgw-Un7O7Qx-D56vLp_Ka8vbuenZ_elgZz1JWUU2NJzSjGGNGK1wgaa43WRkDBuONUQ-wqLSjnziJOmWK4ptZBnXmn8Rgcru4uYvjsberk3Cdjm0a1NvRJMgQ5xVWVweMVaGJIKVonF9HPVVxKBOWPPvlfn8z65KAvL-8NKb2e2_pvdfCVgYMBUMmoxkXVGp9-OcEZndJMlSsqC7Rfv1MVPyRlmFXy5vVNPrwggh7Jq8T4G4QUjpg</recordid><startdate>20010101</startdate><enddate>20010101</enddate><creator>Miller, G.</creator><creator>Inkret, W.C.</creator><creator>Little, T.T.</creator><creator>Martz, H.F.</creator><creator>Schillaci, M.E.</creator><general>Oxford University Press</general><scope>BSCLL</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20010101</creationdate><title>Bayesian Prior Probability Distributions for Internal Dosimetry</title><author>Miller, G. ; Inkret, W.C. ; Little, T.T. ; Martz, H.F. ; Schillaci, M.E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c381t-686ce4d763331658d10ceecbbc90978f86b03f5b9688fe1867a73d6ef0b316fb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Applied radiobiology (equipment, dosimetry...)</topic><topic>Bayes Theorem</topic><topic>Biological and medical sciences</topic><topic>Biological Assay</topic><topic>Biological effects of radiation</topic><topic>Fundamental and applied biological sciences. 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| ispartof | Radiation protection dosimetry, 2001-01, Vol.94 (4), p.347-352 |
| issn | 0144-8420 1742-3406 |
| language | eng |
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| source | MEDLINE; Oxford University Press Journals All Titles (1996-Current) |
| subjects | Applied radiobiology (equipment, dosimetry...) Bayes Theorem Biological and medical sciences Biological Assay Biological effects of radiation Fundamental and applied biological sciences. Psychology Humans New Mexico Plutonium - urine Radiometry Tissues, organs and organisms biophysics Tritium - urine |
| title | Bayesian Prior Probability Distributions for Internal Dosimetry |
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