Econometrics Seminar Series | Eigen-analysis of High-dimensional Time Series by Yanrong Yang
School of Economics
Invites you to a
Econometrics seminar presented by
(Australian National University)
Eigen-analysis of High-dimensional Time Series
Wednesday 24 May 2023
2.00pm – 3.30pm
Level 6 Seminar Room (650)
A02 Social Sciences Building
Camperdown Campus
The University of Sydney NSW 2006
Zoom: 868 3386 1672
Sample covariance matrices play an important role in statistical inference for high-dimensional time series. Under a general data structure, we study asymptotic properties of spiked empirical eigenvalues and corresponding eigenvectors. Based on the established theory, we further propose a novel approach to distinguishing four styles of high-dimensional time series with different strength of cross-sectional dependence and time-serial dependence. At last, finite sample performances on simulated data and US mortality data are illustrated.
For further information contact: Econometrics seminar series coordinator Dr Ye Lu (ye.lu1@sydney.edu.au)
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