Research AreasStatistics Time-varying network Change-point detection High-dimensional time series Applied probability High-order statistics
Ph.D., Statistics, University of Chicago, 2017
Danna Zhang received her Ph.D. in statistics at the University of Chicago under the supervision of Wei Biao Wu and Peter McCullagh. Her research areas include high-dimensional significance testing, change-point detection, high-order statistics, nonlinear/non-stationary time series, time-varying network and random graph. She is currently interested in high-dimensional time series.