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Research Highlight
Statistical learning, sometimes called machine learning, is becoming ever more important as a component of data science, and department members have had active research in this area for more than a decade. Statistical learning methods include classification and regression (supervised learning) and clustering (unsupervised learning). Current research topics of faculty members and their graduate students include construction of phylogenetic trees in evolution, ensembles of models and sparse clustering. Applications include the search for novel pharmaceutical drugs and detection of biogenic patterns.
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News
We’re very pleased to announce that our Statistics Senior Instructor, Eugenia Yu, has won a Killam Teaching Prize for excellence in...
We have all become familiar with the importance of monitoring the number of COVID-19 cases for setting policies and managing limited health care resources. But how do inaccuracies in tests for the virus impact the curves that describe the...
The Statistics Department is happy to announce that PhD student Sonja Isberg has been honoured in two ways for her contributions to statistics education.
Sonja is the recipient of the department’s...
We are pleased to announce that the winner of the 2019 Marshall Prize is PhD student Joe Watson.
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We are pleased to announce that David Kepplinger has won the Department’s 2019–20 Data Science Award.
David is finishing his PhD degree in Statistics under the...
Congratulations to our Professor Nancy Heckman on her role as the Associate Scientific Director of the Canadian Statistical Sciences Institute...
The Department of Statistics is soliciting nominations for the Department of Statistics Award in Data Science, an award to recognize the importance of developing and applying tools to answer important questions through the analysis of...
Professor James V. Zidek has been honoured by his appointment as an Officer of the Order of Canada, an appointment granted to those Canadians who make extraordinary contributions to the Nation. The honour recognizes Dr. Zidek's leadership and...
We’re pleased to announce that this year’s recipient of the Anona Thorne and Takao Tanabe Graduate Entrance Scholarship is PhD student Vittorio Romaniello.
Vittorio completed a master's degree in Statistical Science at Oxford, and a...
The Statistics Department offers several types of free statistical consultation, via STAT 450/550, SOS, and STAT 551, as follows.
- STAT 450/550: Term 2 only, open to anyone, via students in STAT 450/STAT 550 mentored by faculty;...
We’re pleased to announce this year’s recipients of the Dr. John and Barbara Petkau Scholarships, Hayden McTavish and Naitong Chen.
Naitong Chen is entering his fourth year in the Statistics program. He’s...
At the recent 2019 Joint Statistical Meetings, Will Welch was recognized as Fellow of the American Statistical...
We were very happy to read the Government of Canada’s recent announcement of new and renewed Canada Research Chairs (CRCs), especially because one of our Assistant Professors, Marie Auger-Méthé, was on the list of new CRC recipients. Marie has...