[Statlist] Reminder: ETH Young Data Science Researcher Seminar Zurich, Virtual Seminar by Lucy Gao, University of Washington , 19 June 2020

[Maurer Letizia]

Dear all

We are glad to announce the following talk in the virtual ETH Young Data Science Researcher Seminar Zurich

"Statistical Inference for Multi-​View Clustering"  
by Lucy Gao, University of Washington

Time: Friday, 19 June 2020, 16:30-​17:30
Place: Zoom at https://ethz.zoom.us/j/92367940258

Abstract: In the multi-​view data setting, multiple data sets are collected on a single, common set of observations. For example, we might perform genomic and proteomic assays on a single set of tumour samples, or we might collect relationship data from two online social networks for a single set of users. It is tempting to cluster the observations using all of the data views, in order to fully exploit the available information. However, clustering the observations using all of the data views implicitly assumes that a single underlying clustering of the observations is shared across all data views. If this assumption does not hold, then clustering the observations using all data views may lead to spurious results. We seek to evaluate the assumption that there is some underlying relationship among the clusterings from the different data views, by asking the question: are the clusters within each data view dependent or independent? We develop new tests for answering this question based on multivariate and/or network data views. This is joint work with Jacob Bien (University of Southern California) and Daniela Witten (University of Washington).

Best wishes,

M. Löffler, A. Taeb, Y. Chen

Seminar website: https://math.ethz.ch/sfs/news-and-events/young-data-science.html