Robust inference in time series analysis is concerned with developing statistical methods that remain valid under departures from standard model assumptions, such as the presence of heteroskedasticity ...

Irregular functional data, in which densely sampled curves are observed over different ranges, pose a challenge for modeling and inference, and sensitivity to outlier curves is a concern in ...

Instrumental variable (IV) methods for regression are well established. More recently, methods have been developed for statistical inference when the instruments are weakly correlated with the ...

Faculty in the Statistics in Genomics and Genetics Hub develop statistical and computational methods for analyzing high-throughput genomic and epigenomic data to advance biological discovery in cancer ...