Past Events

Measuring the serial dependence across time is critical in model identification and diagnosis in time series (TS) analysis. In classic TS analysis, the autocorrelation function is perhaps the most widely used method to examine the temporal...

Acyclic models, as its commonly seen today, is a proof technique used to show when two chain complexes are chain equivalent or have isomorphic homology. It originated as a theorem by Eilenberg and MacLane (1953), where it was immediately used to show...

Kemeny's constant, a fundamental parameter in the theory of Markov chains, has recently received significant attention within the graph theory community. Originally defined for a discrete, finite, time-homogeneous, and irreducible Markov chain based...

Conway-Coxeter friezes are arrays of positive integers satisfying a determinantal condition, the so-called diamond rule. Recently, these combinatorial objects have been of considerable interest in representation theory, since they encode cluster...

Markov chain Monte Carlo (MCMC) algorithms, such as the Metropolis algorithm, are designed to converge to complicated high-dimensional target distributions, to facilitate sampling. The speed of this convergence is essential for practical use. In this...

Reconstructing simplicial complexes from partial information has been a problem of interest for decades. A triangulation of a d-dimensional sphere is obtained by gluing a collection of d-dimensional simplices (“higher dimensional triangles”) along...

Canonical Correlation Analysis (CCA) is a method for analyzing pairs of random vectors; it learns a sequence of paired linear transformations such that the resultant canonical variates are maximally correlated within pairs while uncorrelated across...

In recognition of Rod Edwards’ remarkable contributions to the field of Mathematical Modeling, we are inviting Rod’s current and former students, postdocs, close collaborators, friends and colleagues to attend this event, scheduled to take place on...

I will be presenting a frame approach for computing solutions of differential equations inspired by recent progress in frame theory and sparse spectral methods. The primary case study for our method will be a very general family of equations...

A colorful diagrammatic language for the 2-category of categories has been exposited in a recent monograph by Dan Marsden and Ralf Hinze. In this tutorial, we will demonstrate how to use the language, and we will emphasize its benefits for the study...