University of Victoria

A spanning tree is a connected subgraph of a graph with no cycles. I will explain some well-known connection between such collection of trees and some Poissonian collection of loops, and a magical algorithm (known as Wilson's alorithm) to sample such...

Given positive integers $p,q$ where $p$ is even and $p\geq 2q$, a circular $\frac{p}{q}$-flow in a mono-directed signed graph $(G, \sigma)$ is a pair $(D, f)$ where $D$ is an orientation on $G$ and $f: E(G)\to \mathbb{Z}$ satisfies that for each...

Naively implemented, statistical procedures are prone to leaking information about their training data, which can be problematic if the data is sensitive. Differential privacy, a rigorous notion of data privacy, offers a principled framework to...

This conference aims to share the most recent development in statistical data science, focusing on its applications in genomics and pharmaceutical research.Invited speakers consist of academic and industry R&D researchers. For graduate students, this...

What do thunderstorms look like on the inside? Were they any different 30 to 50 thousand years ago? How might they change in the next 100 years as global temperatures continue to rise? The presentation will start with how a thunderstorm looks in 3-D...

We prove that a well-known graphical expansion of the Ising model, known as the Loop O(1) model, is a factor of i.i.d. on unimodular random rooted graphs under various boundary conditions and in the presence of a non-negative external field. As an...

I will present new, non-asymptotic bounds on the heights of random combinatorial trees and conditioned Bienaymé trees, as well as stochastic inequalities relating the heights of combinatorial trees with different degree sequences. The tool for most...

In this talk I will discuss activated random walk (ARW) and the stochastic sandpile (SSM), two interacting particle systems that exhibit a phase transition on infinite domains and self-organized criticality on finite domains. ARW and SSM both consist...

One of the challenges of the accurate simulation of turbulent flows is that initial data is often incomplete. Data assimilation circumvents this issue by continually incorporating the observed data into the model. A new approach to data assimilation...

Increasing equity, diversity and inclusion in science, technology, engineering and math. Join us for a conversation with Julie Angus, Open Ocean Robotics, Mina Hoorfar, UVic Engineering and Computer Science, Sue Paish, Canada’s Digital Technology...