Analysis of Complex Data: Tensors, Networks and Dynamic Systems (24w5263)


Cun-Hui Zhang (Rutgers University)

Elynn Chen (New York University)

(University of Waterloo)

(Harvard University)

Marc Hallin (Université libre de Bruxelles)


The Banff International Research Station will host the “Analysis of Complex Data: Tensors, Networks and Dynamic Systems” workshop in Banff from May 12 - 17, 2024.

This workshop will focus on recent developments in the statistical analysis of tensors and networks, especially on the dynamics under temporal dependence. Such data have become widely available only recently, with applications to fields such as biological science, climate science, economics, finance, genetic analysis, image analysis, social networks, social sciences and transportation etc.

This gathering of both world-renowned scholars and junior researchers, in the sublime and tranquil environment of Baff and BIRS, will stimulate new ideas and foster collaboration of the participants, for the challenging and inspiring problem of modeling and analyzing dynamic tensors and networks. The participants are from many countries, with diverse backgrounds, and with expertise in a wide range of statistical and mathematical branches and applications. The workshop consists of lectures, poster sessions and panel discussions.

The Banff International Research Station for Mathematical Innovation and Discovery (BIRS) is a collaborative Canada-US-Mexico venture that provides an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disciplines and with industry. The research station is located at The Banff Centre in Alberta and is supported by Canada’s Natural Science and Engineering Research Council (NSERC), the U.S. National Science Foundation (NSF), and Alberta Technology and Innovation.