[Statlist] Research seminar in statistics November 13th 2015, GSEM University of Geneva

[Eva Cantoni]

Organisers :
E. Cantoni - D. La Vecchia - E. Ronchetti -
S. Sperlich - F. Trojani - M-P. Victoria-Feser

Friday November 13th, 2015 at 11h15 - Room M 5220, Uni Mail (40, bd du 
Pont-d'Arve)

Non-parametric Bayesian approach to LR Assessment in case of rare type match
Giulia CEREDA - University of Lausanne

ABSTRACT:
The evaluation of a match between the DNA profile of a stain found on a 
crime scene and that of a suspect (previously identified) involves the 
use of the unknown parameter $\mathbf{p}=(p_1, p_2, ...)$, (the ordered 
vector which represents the frequencies of the different DNA profiles in 
the population of potential donors) and the names of the different DNA 
types. We propose a Bayesian non parametric method which considers $P$ 
as a random variable distributed according to the two-parameter Poisson 
Dirichlet distribution, and discards the information about the names of 
the different DNA types. The ultimate goal of this model is to evaluate 
DNA matches in the rare type case, that is the situation in which the 
suspect's profile, matching the crime stain profile, is not in the 
database of reference.

The paper is available here  http://arxiv.org/abs/1506.08444

Visit the website: http://www.stat-center.unige.ch/ressem.html



Karen Longden Roure
Program Coordinator
MSc. in Management, MSc. in Economics, MSc. in Statistics
Université de Genève, Uni-Mail
Faculté d'Economie & Management, GSEM
40, bd. du Pont d'Arve, 1211 Genève 4
Tél:  +41.22.379.8109 (10h-14h)


-- 
Prof. Eva Cantoni
Research Center for Statistics and
  Geneva School of Economics and Management
University of Geneva, Bd du Pont d'Arve 40, CH-1211 Genève 4
gsem.unige.ch/rcs/cantoni