Decision-theoretic analysis of forensic sampling criteria using Bayesian decision networks

Forensic Science International

Volumn 223, Issue 1-3, 2012, Pages 217-227

  Biedermann, A ^a   Bozza, S ^c   Garbolino, P ^b   Taroni, F ^a  

^a UNIVERSITY OF LAUSANNE   (Switzerland)

^b UNIVERSITY IUAV OF VENICE   (Italy)

^c CA' FOSCARI UNIVERSITY OF VENICE   (Italy)

Author keywords

Bayesian decision networks; Expected posterior loss; Expected value of sample information; Probabilistic sampling criterion; Sampling

Indexed keywords

ARTICLE; BAYES THEOREM; DECISION THEORY; EQUILIBRIUM CONSTANT; FORENSIC SCIENCE; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PRIORITY JOURNAL; PROBABILITY; SAMPLE SIZE; STATISTICAL ANALYSIS; STATISTICAL DISTRIBUTION; THEORETICAL MODEL; UNCERTAINTY;

EID: 84870296968     PISSN: 03790738     EISSN: 18726283     Source Type: Journal    
DOI: 10.1016/j.forsciint.2012.09.003     Document Type: Article

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