(apologies for cross-posting)
Time: June 16 1200 -1300(EST)
Registration:
https://uconn-cmr.webex.com/uconn-cmr/j.php?RGID=rb9eab23b97311885d6ca84ddfc31c9e3 Please check your spam folder if an immediate
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Title: Phase-Aligned Spectral Filtering for Decomposing Spatiotemporal Dynamics
Abstract: Spatiotemporal dynamics is central to a wide range of
applications from climatology, computer vision to neural sciences.
From temporal observations taken on a high-dimensional vector of
spatial locations, we seek to derive knowledge about such dynamics via
data assimilation and modeling. It is assumed that the observed
spatiotemporal data represent superimposed lower-rank smooth
oscillations and movements from a generative dynamic system, mixed
with higher-rank random noises. Separating the signals from noises is
essential for us to visualize, model and understand these lower-rank
dynamic systems. It is also often the case that such a lower-rank
dynamic system has multiple independent components, corresponding to
different trends or functionalities of the system under study. In this
talk, I present a novel filtering framework for identifying lower-rank
dynamics and its components embedded in a high-dimensional
spatiotemporal system. It is based on an approach of structural
decomposition and phase-aligned construction in the frequency domain.
In both our simulated examples and real data applications, we
illustrate that the proposed method is able to separate and identify
meaningful lower-rank movements while existing methods fail.
Short bio: Tian Zheng is Professor and Department Chair of Statistics
at Columbia University. She develops novel methods for exploring and
understanding patterns in complex data from different application
domains. Her current projects are in the fields of statistical machine
learning, spatiotemporal modeling, and social network analysis.
Professor Zheng's research has been recognized by the 2008 Outstanding
Statistical Application Award from the American Statistical
Association (ASA), the Mitchell Prize from ISBA, and a Google research
award. She became a Fellow of the American Statistical Association in
2014. Professor Zheng is the recipient of the 2017 Columbia
Presidential Award for Outstanding Teaching. From 2018 to 2020, she
was the chair-elect, chair, and past-chair for ASA's section on
Statistical Learning and Data Science.
Linglong Kong, Webinar Committee Chair
On behalf of the webinar committee at ASA Statistical Computing Section
Mine Cetinkaya-Rundel, Kun Chen, Usha Govindarajulu, Linglong Kong,
Jun Yan, and Hua Zhou