The focus is on the statistical analysis of non-Euclidean data, where random objects denote random variables and data samples that take values in general metric spaces. Data of such general type are increasingly prevalent in statistics and machine learning. The workshop covers theory, methodology and applications, with emphasis on applications to brain connectomics. Methodology for metric statistics is aimed at samples of networks, distributions, compositional data, covariance matrices and surfaces, tree data and data on manifolds, as well as complex Euclidean data such as high-dimensional and functional data that can be viewed as elements of a metric space.
Topics of interest include quantification of means, barycenters and variance and conditional Fréchet means and their implementation by regression models such as Fréchet regression and its variants. The workshop will also cover extensions of metric statistics and the analysis of random objects towards metric versions of principal component analysis, uncertainty quantification, deep learning, causal inference and longitudinal and time series methodology.
Lightning Talks and Poster Session
This workshop will include lightning talks and a poster session for early career researchers (including graduate students). If accepted, you will be asked to do both. In order to propose a lightning session talk and a 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 session talk or poster.
The deadline for proposing is September 30, 2026. If your proposal is accepted, you should plan to attend the event in-person.
Registration Fee
A non-refundable registration fee will be payable by credit card or debit card for any participants invited to attend this workshop in-person. In-person participants agree to pay the non-refundable fee by the deadline given by IMSI. Failure to pay the fee by the deadline may mean that the invitation to attend in-person is revoked.
Hans-Georg Müller
University of California, Davis (UC Davis)
Registration
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