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[Sy-cg-global] DIMACS Workshop on Data Depth: Robust Multivariate Analysis, Computational Geometry and Applications
Linda Casals
lindac at dimacs.rutgers.edu
Wed Apr 16 08:57:39 EDT 2003
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.
******************************************************
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.
******************************************************
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).
******************************************************
Preliminary Program:
Wednesday, May 14, 2003
8:00 - 9:00 Breakfast and registration
9:00 - 9:10 Opening remarks
Fred Roberts, Director of DIMACS
9:10 - 9:20 Yehuda Vardi
Department of Statistics, Rutgers University
9:20 - 9:40 Marianthi Markatou
Program Director, NSF Statistics Program
Chair: Diane Souvaine
9:40 - 10:40 Robert Serfling
An Overview on Depth Functions in
Nonparametric Multivariate Analysis
10:40 - 11:40 David Eppstein
Depth and Arrangements
11:40 - 1:30 Lunch
Chair: Xuming He
1:30 - 2:10 Mario Romanazzi
Data Depth in Multivariate Analysis:
Dependence, Discrimination and Clustering
2:10 - 2:50 Anil K. Ghosh, Probal Chaudhuri*
Data depth and classification by
finite dimensional discriminating surfaces
2:50 - 3:10 Jose Dula
Fast Algorithms for Frames and Point Depth
in Polyhedral Hulls
3:10 - 3:40 Break
Chair: David Madigan
3:40 - 4:20 Steve Portnoy
Maximal Depth Estimators of Regression Quantiles
for Censored Data
4:20 - 5:00 Ryan Elmore, Thomas Hettmansperger*, Fengjuan Xuan
Data Depth and Mixture Models
5:00 - 5:40 Kesar Singh
Comparing Multivariate Scale Using Data Depth: Testing
for Expansion or Contraction
5:40 - 6:00 Karen McGaughey
A Test for Equal Variances Using Data Depth
6:00 - 7:00 RECEPTION
Thursday, May 15, 2003
8:30 - 9:00 Breakfast and registration
Chair: Marshall Bern
9:00 - 9:40 Suresh Venkatasubramanian
Real-time Computation of Data Depth Using
the Graphics Pipeline
9:40 - 10:20 Greg Aloupis
On the Computation and Robustness of Some Data
Depth Notions
10:20 - 11:00 Pat Morin
Computing the Center of Area of a Convex Polygon
11:00 - 11:30 Break
Chair: Cun-Hui Zhang
11:30 - 12:10 Yijun Zuo
Computation of Projection Depth and Related
Estimators
12:10 - 12:50 Biman Chakraborty*, Probal Chaudhuri
On some Probabilistic Algoritms for Computing
Tukey's Half Space Depth
12:50 - 2:20 Lunch
Chair: Evarist Gine
2:20 - 3:00 Karl Mosler
Data analysis by zonoid depth
3:00 - 3:40 Yehuda Vardi
Deep Talk
3:40 - 4:20 Hannu Oja
On data based distances between
data vectors and between hyperplanes
4:20 - 4:50 Break
Chair: David Tyler
4:50 - 5:20 Ricardo Fraiman
Impartial Trimmed Means for Functional Data
5:20 - 5:40 Sara López-Pintado, Juan Romo*
A definition of depth for functional observations
5:40 - 6:00 Jin Wang
A Depth_Based Kurtosis Functional
6:30 - 8:00 DINNER, DIMACS Lounge
Friday, May 16, 2003
8:30 - 9:00 Breakfast and registration
Chair: William Steiger
9:00 - 9:40 Rebecka Jornsten
Clustering and Cluster validation via the
Relative Data Depth
9:40 - 10:20 Andreas Christmann
On aspects of regression depth and methods based
on convex risk minimization for data mining
10:20 - 10:40 Short Break
Chair: Suneeta Ramaswami
10:40 - 11:20 Bogdan Georgescu, Ilan Shimshoni, Peter Meer*
Nonparametric clustering of high-dimensional data
11:20 - 11:40 Belen Fernandez-de-Castro*, S.Guillas, W. Gonzalez Manteiga
Functional Samples and Bootstrap for Predicting SO_2 Levels
11:40 - 12:00 Vera Rosta
Exact, Adaptive, Parallel Algorithms for Data Depth Problems
12:00 - 1:30 Lunch
Chair: Peter Rousseeuw
1:30 - 2:10 David M. Mount
Analyzing The Number of Samples Required for an
Approximate Monte-Carlo LMS Line Estimator
2:10 - 2:50 Stefan Langerman
Optimizing Depth Functions
2:50 - 3:30 Michael Burr*, Eynat Rafalin*, Diane Souvaine
A note on Simplicial Depth &
Software Demonstration
3:30 - 5:00 Open Discussion
5:00 Workshop adjourns
******************************************************
Registration Fees:
(Pre-registration deadline: May 7, 2003)
Regular rate
Preregister before deadline $100/day
After preregistration deadline $120/day
Reduced Rate*
Preregister before deadline $50/day
After preregistration deadline $60/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.
***************************************************************
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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