Likai Chen's research interests include statistical learning for time series; high-dimensional testing and inference; structured high-dimensional models; temporal and cross-sectional dependence; non-linear processes; changepoint detection; and robust statistics. She earned her doctorate from the University of Chicago in statistics.
Assistant Professor of Mathematics and Statistics
PHD, University of Chicago
- Time series
- High dimensional data analysis
- Statistical learning theory