Computational Statistics Research Group
The Computational Statistics Group at the University of Waterloo is a
multi-disciplinary
group made up faculty from the David R. Cheriton School of
Computer Science and the Department of Statistics and Actuarial Science.
Members
See People link
Research Topics
-
Pattern recognition / structure discovery
-
Statistical estimation, inference & prediction
-
Statistical decision making
-
Dimensionality reduction
-
Large model methods
-
Data visualization algorithms and tools
-
Machine learning
-
Clustering
Application Domains
Bioinformatics, databases, data mining, decision
analysis, finance, health informatics, intelligent
systems, security, etc.
Research Activity (last 5 years)
-
23 journal and 42 conference papers, including best paper awards
at ICASSP-05, COLT-06, ICVS-07
- 47 invited talks, keynote addresses and tutorials
- Co-chairs of 2 conferences, co-organizers of 4 workshops and
program committee members of more than 15 conferences
Collaborations
Google, UW-Schlegel Research Institute in Aging, University
Hospital (London ON), Homewood Research Institute (Guelph),
School of Public Health Sciences (U of Toronto), Alberta Ingenuity
Centre for Machine Learning


Last modified: Friday, 04-May-2012 23:14:18 EDT