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UBC Statistics

  • AlumFest 2016
  • UBC Vancouver Campus
  • Data Science

Research Highlight

Modern multivariate and time series analyses go beyond the classical normality assumption by modelling data that could combine binary, categorical, extreme and heavy-tailed distributions. Dependence is modeled non-linearly,  often in terms of copula functions or stochastic representations. Models for multivariate extremes arise from asymptotic limits.  Characterization and modelling of dependence among extremes as well as estimation of probabilities of rare events are topics of on-going research. Advances in high-dimensional multivariate modelling have been achieved by the use of vine pair-copula constructions. Areas of application include biostatistics, psychometrics, genetics, machine learning, econometrics, quantitative risk management in finance and insurance, hydrology and geoscience.

Events

Jan 22 2018 -
3:00pm to 4:00pm
Giles Hooker, Cornell Statistical Science and Biological Statistics & Computational Biology
Room 2012, Earth Sciences Building (2207 Main Mall)
Jan 23 2018 -
11:00am to 12:00pm
Andrew Spieker, Perelman School of Medicine, University of Pennsylvania
Room 4192, Earth Sciences Building (2207 Main Mall)
Jan 25 2018 -
4:00pm to 5:00pm
Nelson Chen, UBC Statistics PhD Student
Room 4192, Earth Sciences Building (2207 Main Mall)
Jan 30 2018 -
11:00am to 12:00pm
Junwei Lu, Graduate Student in the Department of Operations Research and Financial Engineering, Princeton University
Room 4192, Earth Sciences Building (2207 Main Mall)

News

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...

The Statistics Department offers several types of free statistical consultation, via SOS, STAT 551 and STAT 450/550, as follows.

  • SOS (Statistical Opportunity for Students):  accepted year-round, UBC-V graduate...

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...