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Job Postings

The organizing committee for the equity, diversity and inclusion speaker series in Statistics is hiring two graduate student facilitator positions.

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The Equity, diversity, and inclusion speaker series in Statistics is a six-part seminar series from April to November 2022 inviting speakers doing equity, diversity, and inclusion (EDI) work in Statistics, Data Science, or teaching. The purpose of the series is to increase opportunities in the Statistics Department to engage with different ways of knowing and increase inclusive dialogues. Talks will be open...

The University of British Columbia, Vancouver [1] invites applications for a tenure-track Assistant Professor of Teaching position in the Department of Statistics [2], with an anticipated start date of July 1, 2022 or January 1, 2023. The position has a primary focus on contributing to the delivery and further development of the Master of Data Science (MDS) program [3], while also involving contributions to other departmental...

The Deadline for applications for 2022 was Friday, March 4th. This application round is now closed!

The Department of Statistics is hiring several TA and marker positions for 2022.

Positions may be available for:

DSCI 100 – Introduction to Data Science

Stat 200 – Elementary Statistics for Applications

Stat 201 - Statistical Inference for Data Science

Stat 203 – Statistical Methods

Stat 251 – Elementary Statistics

Stat...

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

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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...

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...