Wed 29th June 2016

UBC Statistics professors Chen, Welch, and Joe funded on three national Collaborative Research Team Projects

The Canadian Statistical Sciences Institute (CANNSI) is a national institute that funds research and collaborations in the statistical sciences. Three UBC Statistics faculty members have received CANSSI funding through the CANSSI’s Collaborative Research Team Projects program. Each project receives $200,000 over three years to support trainees, travel for collaboration, and workshops. Project team members are at universities across Canada and around the world.
Professor Jiahua Chen is part of a team of 8 other professors for the project “Statistical Inference for Complex Surveys with Missing Observations”. These researchers will tackle important issues in the challenges of using complex surveys to provide information for science and society. More information on the award can be found here.
Professor Will Welch is part of a team working on “Statistical Modelling of the World: Computer and Physical Models in Earth, Ocean, and Atmospheric Sciences”. Researchers in the statistical sciences and earth sciences will study important environmental problems by developing new methodology for combining complex computer models with field observations. A summary of the project can be found here.
Along with an international team, Professor Harry Joe has funding for the project “Copula  Dependence Modelling:  Theory and Applications”. The use of copulas to model dependencies in data can lead to better understanding in an array of applications, from finance to genetics to hydrology. More information on the project can be found here.

Wed 1st June 2016

Professor Harry Joe Receives SSC Gold Medal

Harry Joe has been awarded the Statistical Society of Canada's Gold Medal, the highest research honour the society bestows.  Harry has received this Medal

“….in recognition of his deep and impactful contributions to statistical science, most notably in multivariate dependence modelling, but also in composite likelihood,  statistical computing, time-series analysis, and methodology for psychometric and genetic applications.”

The Faculty of Science has posted a nice write up about Harry's achievement.
You can read more about the broad extent and high impact of Harry’s research on the SSC website,

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