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CATEGORIES:Isaac Newton Institute Seminar Series
SUMMARY:A Bayesian nonparametric approach for the rare typ
e problem - Giulia Cereda (Université de Lausanne\
; Universiteit Leiden)
DTSTART;TZID=Europe/London:20161111T094500
DTEND;TZID=Europe/London:20161111T103000
UID:TALK68942AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/68942
DESCRIPTION:Co-author: Richard Gill (Leiden University)
The evaluation of a match between
the DNA profile of a stain found on a crime scen
e and that of a suspect (previously identified) in
volves the use of the unknown parameter p=(p1\, p
2\, ...)\, (the ordered vector which represents th
e proportions of the different DNA profiles in th
e population of potential donors) and the names o
f the different DNA types.
We propose a B
ayesian nonparametric method which considers p as
the realization of a random variable P distribute
d according to the two-parameter Poisson Dirichle
t and discard information about DNA types.
The ultimate goal of this model is to eval
uate DNA matches in the rare type case\, that is
the situation in which the suspect'\;s profile\
, matching the crime stain profile\, is not one o
f those in the database of reference. This situati
on is so problematic that has been called &ldquo\
;the fundamental problem of forensic mathematics&
rdquo\; by Charles Brenner. \;
LOCATION:Seminar Room 1\, Newton Institute
CONTACT:INI IT
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