Statistics group webinar
The next talk in the weekly webinar of the statistics group at the Otto-von-Guericke university (https://www.math.ovgu.de/vortraege.html) will be about detecting structural breaks (i.e. change points and anomalies) for network data and be illustrated on neuropixel data.
Thursday, 28. May 2020
5 p.m. start virtual coffee break
5:30 p.m. start talk
Prof. Dr. Hao Chen, UC Davis USA: >>Change-point analysis for modern data<<
Abstract: After observing snapshots of a network, can we tell if there has been a change in dynamics? After collecting spiking activities of thousands of neurons in the brain, how shall we extract meaningful information from the recording? We introduce a change-point analysis framework utilizing graphs representing the similarity among observations. This approach is non-parametric and can be applied to data when an informative similarity measure can be defined. Analytic approximations to the significance of the test statistics are derived to make the method fast applicable to long sequences. The method is illustrated through the analysis of the Neuropixels data.
If you are interested to participate, please send a short e-mail to email@example.com to obtain the login details.