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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.
Events
News
Statistics PhD candidate Jonathan Agyeman has been awarded the prestigious Killam Graduate Teaching Assistant Award for 2021/2022.
Jonathan has shown an extraordinary commitment to serving the department’s and the university’s teaching...
Statistics Ph.D. recipient, Xin Ding, has been awarded the Marshall Prize. Xin recently received his Ph.D., co-supervised by Statistics professor William Welch and Electrical...
Statistics PhD student Anthony Christidis is the recipient of the 2021-22 Department of Statistics Award in Data Science. Anthony has carried out exceptional work tackling...
Data Science Applied Research and Education Seminar (ARES) collaborated between the Department of Statistical Sciences at University of Toronto and CANSSI Ontario is a...
CANSSI Saskatchewan Health Science (CANSSI-SKHS) Collaborating Centre is organizing a webinar...
The Statistics Department is pleased to honour Kenny Chiu and Jonathan Agyeman with Statistics Graduate Teaching Assistant Awards.
Kenny is...
UBC Statistics PhD student, David (Zuheng) Xu, won an ASA Section on Bayesian Statistical Science (SBSS) Student Paper Award, sponsored by the...
Statistics PhD student Evan Sidrow and his research team propose more advanced Markov models in their study to better understand the behaviours of northern resident killer whales and other species. Evan’s co-supervisors, faculty members Marie...
The Statistics Department offers several types of free statistical consultation, via STAT 450, SOS and STAT 551, as follows:
- STAT 450: Term 2 only, open to anyone, via students in STAT 450 mentored by faculty; accepting...