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UBC Statistics

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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

Feb 12 2019 - 11:00am to 12:00pm
Guohai Zhou, Senior Statistician at Yale School of Medicine
Room 4192, Earth Sciences Building (2207 Main Mall)

News

Statistics Associate Professor Alex Bouchard-Côté has just received the 2018 UBC/PIMS Mathematical Sciences Young Faculty Award.

In addition to receiving a monetary award, Alex will give a PIMS-UBC Distinguished Colloquium...

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 data. This...

Assistant Professor Sara Mostafavi has been awarded a Canada CIFAR Artificial Intelligence (CCAI) Chair!

CIFAR is the Canadian Institute for Advanced Research, funded by the federal government and various provincial governments,...

Our IT Director, Thé Ha (a.k.a. help [at] stat.ubc.ca!), is a 2018 recipient of a Faculty of Science Excellence in Service Award!

Thé has provided us with...

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; ...

Nowadays, data is everywhere and making sense of it can be the key to success. To keep up with the world, students need to learn the skills to extract relevant information from data. The Department of Statistics is excited to provide UBC’s first...

Department of Statistics and Institute for the Oceans & Fisheries Assistant Professor Marie Auger-Méthé not only analyzes data, she collects it. Learn about her research team’s...

We are happy to announce the launch of UBC’s first undergraduate Data Science course, DSCI 100—Introduction to Data Science. It will be offered in Term 2 of the 2018/2019 Academic year (January – April 2019). A working version of the course...

The Mean Squared Terrors have been proudly flying the Statistics flag in UBC's indoor and outdoor soccer leagues for the past 4 years. After many seasons of heartbreak and disappointment in which the Terrors failed to progress through a play-off...

StatSpace, produced through the Flexible Learning Introductory Statistics (FLIS) Project, is now available in a "soft launch" form.  This preliminary version allows you to explore and use the...