[Sy-cg-global] DIMACS Workshop on Data Depth: Robust Multivariate Analysis, Computational Geometry and Applications

[Sarah Donnelly]

DIMACS Workshop on Data Depth: Robust Multivariate Analysis,
Computational Geometry and Applications

May 14 - 16, 2003 
DIMACS Center, Rutgers University, Piscataway, NJ

Organizers: 
    
  Regina Liu
    Rutgers University
    rliu at stat.rutgers.edu 
    
  Robert Serfling
    University of Texas at Dallas
    serfling at utdallas.edu 
    
  Diane Souvaine
    Tufts University
    dls at eecs.tufts.edu 
    
  Yehuda Vardi
    Rutgers University
    vardi at stat.rutgers.edu 


Presented under the auspices of the DIMACS Special Focus on Data
Analysis and Mining and the DIMACS Special Focus on Computational
Geometry and Applications.

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Multivariate statistical methodology plays a role of ever increasing
importance in real life applications, which typically entail a host of
interrelated variables. Simple extensions of univariate statistics to
the multivariate setting do not properly capture the
higher-dimensional features of multivariate data, nor do they yield
geometric solutions because of the absence of a natural order for
multidimensional Euclidean space. A more promising approach is the one
based on "data depth", which can provide a center-outward ordering of
points in Euclidean space of any dimension. Extensive developments in
recent years have generated many attractive depth-based tools for
multivariate data analysis, with a wide range of applications. The
diversity in approaches, emphases, and concepts, however, makes it
necessary to seek unified views and perspectives that would guide the
further development of the depth-based approach.

The concept of data depth provides new perspectives to probabilistic
as well as computational geometries. In particular, the development of
implementable computing algorithms for depth-based statistics has
brought about many new challenges in computational geometry. This
workshop would create a unique environment for multidisciplinary
collaboration among computer scientists, theoretical and applied
statisticians, and data analysts. It would bring together active
researchers in these fields to discuss significant open issues,
establish perspective on applications, and set directions for further
research.

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STUDENT SCHOLARSHIPS:

The workshop offers some student scholarships to reimburse expenses
for travel, registration, and lodging at the workshop, up to
$400. Applicants for student scholarships should contact Regina Liu
(rliu at stat.rutgers.edu).


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Call for Participation:

Participants interested in presenting talks/posters at the workshop
please submit abstracts to Regina Liu (rliu at stat.rutgers.edu).

Submissions are due March 25, 2003. 

Notification of acceptance: April 1, 2003.

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Registration fees:

(Pre-registration deadline: May 7, 2003) 


Regular rate
Preregister before deadline $120/day
After preregistration deadline $140/day

Reduced Rate*
Preregister before deadline $60/day
After preregistration deadline $70/day

Postdocs
Preregister before deadline $10/day
After preregistration deadline $15/day

DIMACS Postdocs $0

Non-Local Graduate & Undergraduate students
Preregister before deadline $5/day
After preregistration deadline $10/day

Local Graduate & Undergraduate students $0
(Rutgers & Princeton)

DIMACS partner institution employees** $0

DIMACS long-term visitors*** $0

Registration fee to be collected on site, cash, check, VISA/Mastercard
accepted.

Our funding agencies require that we charge a registration fee for the
workshop. Registration fees cover participation in the workshop, all
workshop materials, breakfast, lunch, breaks, and any scheduled social
events (if applicable).

* College/University faculty and employees of non-profit organizations
will automatically receive the reduced rate. Other participants may
apply for a reduction of fees. They should email their request for the
reduced fee to the Workshop Coordinator at
workshop at dimacs.rutgers.edu. Include your name, the Institution you
work for, your job title and a brief explanation of your
situation. All requests for reduced rates must be received before the
preregistration deadline. You will promptly be notified as to the
decision about it.

** Fees for employees of DIMACS partner institutions are waived.
DIMACS partner institutions are: Rutgers University, Princeton
University, AT&T Labs - Research, Bell Labs, NEC Laboratories America
and Telcordia Technologies. Fees for employees of DIMACS affiliate
members Avaya Labs, IBM Research and Microsoft Research are also
waived.

***DIMACS long-term visitors who are in residence at DIMACS for two or
more weeks inclusive of dates of workshop.

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Information on participation, registration, accommodations, and travel
can be found at:


    http://dimacs.rutgers.edu/Workshops/Depth/


    **PLEASE BE SURE TO PRE-REGISTER EARLY**


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