Description
Back to topThe goal of this workshop is to provide an introduction to the mathematical, statistical, and computational frameworks for the analysis of samples of data residing in non-Euclidean metric spaces. Motivating applications span various scientific disciplines, with an abundance of such examples to be found in brain connectomics. These include networks and graphs, shapes, and probability distributions quantifying functional connectivity.
Topics of interest include foundational tools for exploratory data analysis, modeling, and statistical inference for non-Euclidean data. For instance, the Fréchet mean and variance typically serve as quantifications of the center and spread of data distributions, both at the population and sample level. Theory and practice will each be emphasized throughout the workshop to justify the methodologies. Theoretical properties of interest include finite-sample concentration bounds and asymptotic properties for the evaluation of estimators. Computational algorithms that implement the methodologies will also be demonstrated using complex, real-world data sets.
Lightning Talks and Poster Session
This workshop will include lightning talks and a poster session for early career researchers (including graduate students). In order to propose a lightning talk and poster, you must first register for the workshop, and then submit a proposal using the form that will become available on this page after you register. The registration form should not be used to propose a lightning talk or poster.
The deadline for proposing is Sunday, August 16, 2026. If your proposal is accepted, you should plan to attend the event in-person.
Organizers
Back to topImportant Warning
IMSI does not use third-party conference services, and phishers have become very aggressive in contacting people connected with our workshops. Please be vigilant, and don’t hesitate to reach out and confirm if an email is valid.