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Non-stationary High Dimensional Time Series Networks

With Ivor Cribben, Assistant Professor, School of Business
University of Alberta. Cribben and team have developed original statistical methodology on the evolving interdependencies between high-dimensional multivariate time series. Specifically,  a data-driven method which detects change points in the network of a (very high dimensional) multivariate time series, with each component of the time series represented by a node in the network.

Thursday, May 17 at 4:00pm to 5:00pm

Donald Bren Hall, 6011
6210 Donald Bren Hall, Irvine, CA 92697

Event Type

Lectures / Presentations

Audience

Faculty, General Public, Students, Graduate Students

Website

http://www.stat.uci.edu/seminar-series/

Cost

Free

Department
Information & Computer Sciences
Hashtag

#UCIBrenICS

Event Sponsor

Department of Statstics

Event Contact Email

lstieler@uci.edu

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