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Exam sales -summer 2015

SIGMAS (with help from SUMS) is selling solved Math and Stats exams for many of the 100, 200, and 300-level Math and Stats courses! We'll be outside the Math/Stats Assistance Centre (DTB A202) during the following times:

  • Wednesday July 29, 12:00 - 2:00
  • Thursday July 30, 12:00 - 2:00
  • Friday July 31, 12:00 - 2:00

We're cash only, as per usual.

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Nathoo co-authors one of the most downloaded journal articles

Farouk Nathoo has co-authored one of the most downloaded Journal of Mathematical Psychology articles. The title of the article is  Bayesian alternatives to null-hypothesis significance testing for repeated-measures designs.

Read more about Nathoo co-authors one of the most downloaded journal articles.




Canada Research Chair (Tier II) in Biostatistics

The Department of Mathematics and Statistics at the University of Victoria invites applications for a Canada Research Chair in Biostatistics anticipated to commence July 1, 2016.

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Applied Topology and High-Dimensional Data Analysis

This conference aims to bring together applied topologists and statisticians that are curious about each-other's work.  We anticipate having two relatively-distinct groups: 1) topologists that have been working with applied algebraic-topological tools like persistent homology, 2) statisticians working in the area of high-dimensional data analysis, and researchers from fields that involve large data problems.  We aim to have as many general-interest talks as possible but as talks get more technical and special-interest we will have some parallel sessions aimed towards a particular audience. The other principal aspect of the conference is the first week has talks aimed primarily at a graduate student audience, covering the most basic topics in algebraic topology, persistent homology, and the basics of the fields people are applying these topics to, such as economics, brain imaging and genomics. 

For more information and registration see the conference website.

Read more about Applied Topology and High-Dimensional Data Analysis.




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