Explore

UBC Statistics

  • AlumFest 2016
  • UBC Vancouver Campus
  • Data Science

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

Aug 18 2017 -
11:00am to 12:00pm
Linglong Kong, Assistant Professor, Department of Mathematical and Statistical Sciences, University of Alberta
Room 4192, Earth Sciences Building (2207 Main Mall)

News

The Statistics Department offers two types of free statistical consultation. One is through courses with students mentored by faculty (STAT 551 Term 1, STAT 450 Term 2). The other (SOS—Statistical Opportunity for Students), is via a team of a...

Undergraduate Kris Hong and PhD student Guohai Zhou are the first recipients of the Rick White Award. This recently established award recognizes students who demonstrate excellence in...

We are very proud of our PhD alumnus Andy Leung for having received the Pierre Robillard Award from the Statistical Society of Canada (SSC). This award recognizes “the best PhD thesis...

We are pleased to announce that Fred (Hongyang) Zhang has won the Department’s 2016-17 Data Science Award.

Fred recently completely his PhD under the supervision of Ruben Zamar. Fred has made important contributions to Data Science...

The Rick White Memorial Fund was established late last year, to honour Rick’s memory. Rick, who passed away September 2, 2016, was a long time member of the department, an accomplished statistical consultant and data scientist, and a wonderful...