Ping-Shou Zhong : Some inference problems for high dimensional and functional data

Posted by Danielle Tucker , part of the Graduate Statistics Seminar.

At

April 29, 2020, 4 p.m.

In

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Abstract

In this talk, I will share some statistical inference problems for high dimensional and functional data in applications such as genomics and genetics, and neuroimaging. The topics include problems in statistical inference for high dimensional parameters in data with sparse and weak signals, covariance structure model selection, and change-points detection and identification in high dimensional longitudinal/functional data.