Inference about the number of contributors to a DNA mixture: Comparative analyses of a Bayesian network approach and the maximum allele count method

Forensic Science International: Genetics

Volumn 6, Issue 6, 2012, Pages 689-696

  Biedermann, A ^a   Bozza, S ^b   Konis, K ^c   Taroni, F ^a  

^a UNIVERSITY OF LAUSANNE   (Switzerland)

^b CA' FOSCARI UNIVERSITY OF VENICE   (Italy)

^c EPFL   (Switzerland)

Author keywords

Bayesian networks; DNA mixture profiling results; Number of contributors; Probability and decision theory; Simulation

Indexed keywords

DNA;

ALLELE; BAYES THEOREM; COMPARATIVE STUDY; CONFERENCE PAPER; HEALTH CARE POLICY; MEDICAL DECISION MAKING; PRIORITY JOURNAL; PROBABILITY; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; SIMULATION; STANDARD;

ALLELES; BAYES THEOREM; DECISION THEORY; DNA; DNA FINGERPRINTING; HUMANS; MICROSATELLITE REPEATS; MODELS, GENETIC; SOFTWARE;

EID: 84867576396     PISSN: 18724973     EISSN: 18780326     Source Type: Journal    
DOI: 10.1016/j.fsigen.2012.03.006     Document Type: Conference Paper

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