University of Calgary

In this talk, several semiparametric extensions of the traditional parametric finite mixture models are introduced. Mixture models are widely used when the population consists of several homogeneous subgroups. Currently most of mixture models...

We introduce a nonparametric method for estimating non-gaussian graphical models based on a new statistical relation called additive conditional independence, which is a three-way relation among random vectors that resembles the logical structure of...

One sometimes hears that the indigenous peoples of the Americas are for some reason not predisposed to be able to do mathematics. This belief is surprising, since the mathematical traditions of the Western Hemisphere prior to European contact were...

It is often convenient or useful in mathematics to treat isomorphic structures as the same. The Univalence Axiom for the foundations of mathematics elevates this idea to a foundational principle in the setting of Homotopy Type Theory. It states...

What is the PIMS YRC? The PIMS Young Researchers Conference in Mathematics and Statistics (PIMS YRC) is an annual event that provides a unique forum for young mathematicians across Canada to present their research and to collaborate with their peers...

The Theory Canada conference was initiated in 2005 as a satellite conference for the Canadian Association of Physicists (CAP) congress. Theorists present work in frontiers of knowledge to an audience comprising of students and researchers from all...

Markov chains are a much-studied class of stochastic processes, and it is well known that if the transition matrix A associated with a Markov chain possesses a certain property called primitivity, then the long-term behaviour of the Markov chain is...

A fundamental result by Karger (1994) states that for any k-edge connected graph with n nodes, independently sampling each edge with probability p = Omega(logn / k) results in a graph that has edge connectivity Omega(kp), with high probability. We...

Optimization is an interdisciplinary area of mathematics and computer science that, simply speaking, amounts to choosing the best element from some set of available alternatives and studying its properties. Optimization has become ubiquitous to...