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Research Highlight
The Bayesian paradigm for statistical inference uses expert knowledge, formulated in terms of probability distributions of unknown parameters of interest. These distributions, called prior distributions, are combined with data to provide new information about parameters, via new parameter distributions called posterior distributions. One research theme centers on devising new Bayesian methodologies, i.e., new statistical models with which Bayesian inferences can provide particular scientific insight. Quantifying the statistical properties of such methods and contrasting with non-Bayesian alternatives is an active area of research. Bayesian methods can lead to computational challenges, and another research theme centers on efficient computation of Bayesian solutions. The development of computational techniques for determining posterior distributions, such as Monte Carlo methods, is a rich area of research activity, with particular emphasis on Markov Chain Monte Carlo methods and sequential Monte Carlo methods.
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News
Congratulations to this year’s two Rick White Award winners, Shuxian Fan and Austin Kwong.
Austin Kwong recently graduated with distinction in May 2020 with a B.Sc. in...
Beginning in September, the Canadian Statistical Sciences Institute (CANSSI) will be hosting a series of monthly virtual seminars, to be broadcast live on the...
This year’s recipients of the Dr. John and Barbara Petkau Scholarships are Xinpei Li and Huanqing (William) Wang.
Xinpei Li is entering third...
The Nash Medal in Statistics was awarded this year to Naitong Chen.
Naitong graduated with a major in Statistics in May 2020 with an exemplary transcript coupled with hands-...
The Department of Statistics offers several types of free statistical consultation, via STAT 551, SOS, and STAT 550, as follows.
- STAT 551: Term 1 only, open to anyone, via students in STAT 551 mentored by faculty; ...
Congratulations to our Statistics PhD student Joe Watson, who was awarded the Student Presentation Award at the virtual International Statistical Ecology Conference (ISEC) 2020!
ISEC...
Our professor and department head, Paul Gustafson, has received this year’s Statistical Society of Canada (SSC) Gold Medal.
The Gold Medal is the SSC’s most prestigious award for research. It is awarded to “a person who has made...
UBC Statistics PhD student Evan Sidrow won the Best Graduate Oral Presentation Award (Ph.D.) at the Eighth Annual Canadian Statistics Student Conference. This conference is usually held in-person just before the annual Statistical Society of...
Our department is thrilled to be welcoming five new faculty colleagues: Vincenzo Coia, Melissa Lee, Rodolfo Lourenzutti, Daniel McDonald, and Yongjin Park.
Rodolfo, Melissa, and Vincenzo will be taking up Assistant Professor of Teaching...
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.
...
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...
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...