[Statlist] Reminder: ETH/UZH Research Seminar on Statistics by Hao Chen, University of California, Davis, USA -- ETH Zurich, 26 August 2025

[Maurer Letizia]

We are glad to announce and invite you to the following talk in the ETH/UZH Research Seminar on Statistics:

"Change-point detection for modern complex data"  
by Hao Chen, University of California, Davis, USA

Date and Time: Tuesday, 26 August 2025 at 15.00 h
Place: ETH Zurich, HG G 19.1

Abstract: Change-point analysis is thriving in this big data era, addressing problems that arise across many fields where massive data sequences are collected to study complex phenomena over time. It plays a crucial role in processing these data by segmenting long sequences into homogeneous parts for subsequent studies. Observations could be high-dimensional or not lie in the Euclidean space, such as network data, which are challenging to characterize using parametric models. We utilize the inter-point information of the observations and propose a series of nonparametric methods to address the issue. In particular, we take into account a pattern caused by the curse of dimensionality so that the proposed methods can accommodate a broad range of alternatives. Additionally, we work out ways to analytically approximate the p-values of the test statistics, enabling rapid type I error control. The methods are applied to Neuropixels data in the analysis of thousands of neurons’ activities.

Seminar website, https://math.ethz.ch/sfs/news-and-events/research-seminar.html


Organisers:  A. Bandeira, P. Bühlmann, Y. Chen, R. Furrer, L. Held, T. Hothorn, D. Kozbur,  J. Peters,  M. Wolf, J. Ziegel