Go to JKU Homepage
Institute of Applied Statistics
What's that?

Institutes, schools, other departments, and programs create their own web content and menus.

To help you better navigate the site, see here where you are at the moment.

Detail

Online - Research Seminar at the Institute of Applied Statistics

Online talk - April 22nd - Dr. Klaus Nordhausen, University of Jyväskylä, Finland: Blind source separation for multivariate spatial data

Zoom link to the online talks, opens an external URL in a new window

Abstract:

Blind source separation has a long tradition for iid data and multivariate time series. Blind source separation methods for multivariate spatial observations have however not been considered yet much in the literature. We suggest therefore a blind source separation model for spatial data and show how the latent components can be estimated using two or more scatter matrices. The statistical properties and merits of these estimators are derived and verified in simulation studies. A real data example illustrates the method.

Event

Time & date

April 22, 2021

17:15 - 18:45 PM

Add to my calendar

Location

Online

Contact

milan.stehlik@jku.at