Alexander Aue

Alexander Aue is a Professor in the Department of Statistics at the University of California, Davis. His research focuses on time series analysis, change-point problems, functional data analysis, and high-dimensional statistics. He holds a Ph.D. and has contributed to foundational methodologies in these areas.

His work emphasizes developing robust statistical techniques for analyzing complex data structures, including spectral analysis, bootstrap methods, and functional time series. Notably, he has advanced change-point detection methodologies without relying on dimension reduction.

Awarded the prestigious AAAS Fellowship for his contributions, his recent publications explore topics like high-dimensional hypothesis testing, stationarity testing for functional time series, and error estimation in time series predictions.