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A Biedermann

Showing results (21-30 of 67) with videos related to

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Forensic Science International|October 17, 2009
Implementing statistical learning methods through Bayesian networks. Part 1: a guide to Bayesian parameter estimation using forensic science dataA Biedermann, F Taroni, S Bozza
Forensic Science International. Genetics|May 13, 2014
An investigation of the potential of DIP-STR markers for DNA mixture analysesG Cereda, A Biedermann, D Hall, et al.
Forensic Science International. Genetics|April 27, 2012
Inference about the number of contributors to a DNA mixture: Comparative analyses of a Bayesian network approach and the maximum allele count methodA Biedermann, S Bozza, K Konis, et al.
Forensic Science International. Genetics|December 10, 2013
Object-oriented Bayesian networks for evaluating DIP-STR profiling results from unbalanced DNA mixturesG Cereda, A Biedermann, D Hall, et al.
Gesundheitswesen (Bundesverband Der Arzte Des Offentlichen Gesundheitsdienstes (Germany))|August 20, 2014
[Individualised parent counselling in paediatric practices for the reduction of second-hand smoke exposure of their children: a feasibility study]S Haug, A Biedermann, S Ulbricht, et al.
Physical Review Letters|August 11, 2001
Crystallographic structure of ultrathin Fe films on Cu(100)A Biedermann, R Tscheliessnig, M Schmid, et al.
Forensic Science International|February 23, 2013
Decision-theoretic reflections on processing a fingermarkS Gittelson, S Bozza, A Biedermann, et al.
Science & Justice : Journal of the Forensic Science Society|January 9, 2017
The consequences of understanding expert probability reporting as a decisionA Biedermann, S Bozza, F Taroni, et al.
Science & Justice : Journal of the Forensic Science Society|October 6, 2016
Reframing the debate: A question of probability, not of likelihood ratioA Biedermann, S Bozza, F Taroni, et al.
Forensic Science International|October 4, 2012
Decision-theoretic analysis of forensic sampling criteria using bayesian decision networksA Biedermann, S Bozza, P Garbolino, et al.
Pageof 7

Showing results (21-30 of 67) with videos related to

Sort By:
Pageof 7
Forensic Science International|October 17, 2009
Implementing statistical learning methods through Bayesian networks. Part 1: a guide to Bayesian parameter estimation using forensic science dataA Biedermann, F Taroni, S Bozza
Forensic Science International. Genetics|May 13, 2014
An investigation of the potential of DIP-STR markers for DNA mixture analysesG Cereda, A Biedermann, D Hall, et al.
Forensic Science International. Genetics|April 27, 2012
Inference about the number of contributors to a DNA mixture: Comparative analyses of a Bayesian network approach and the maximum allele count methodA Biedermann, S Bozza, K Konis, et al.
Forensic Science International. Genetics|December 10, 2013
Object-oriented Bayesian networks for evaluating DIP-STR profiling results from unbalanced DNA mixturesG Cereda, A Biedermann, D Hall, et al.
Gesundheitswesen (Bundesverband Der Arzte Des Offentlichen Gesundheitsdienstes (Germany))|August 20, 2014
[Individualised parent counselling in paediatric practices for the reduction of second-hand smoke exposure of their children: a feasibility study]S Haug, A Biedermann, S Ulbricht, et al.
Physical Review Letters|August 11, 2001
Crystallographic structure of ultrathin Fe films on Cu(100)A Biedermann, R Tscheliessnig, M Schmid, et al.
Forensic Science International|February 23, 2013
Decision-theoretic reflections on processing a fingermarkS Gittelson, S Bozza, A Biedermann, et al.
Science & Justice : Journal of the Forensic Science Society|January 9, 2017
The consequences of understanding expert probability reporting as a decisionA Biedermann, S Bozza, F Taroni, et al.
Science & Justice : Journal of the Forensic Science Society|October 6, 2016
Reframing the debate: A question of probability, not of likelihood ratioA Biedermann, S Bozza, F Taroni, et al.
Forensic Science International|October 4, 2012
Decision-theoretic analysis of forensic sampling criteria using bayesian decision networksA Biedermann, S Bozza, P Garbolino, et al.
Pageof 7