Rong Liu

Rong Liu is Associate Professor in Mathematics and Statistics at the University of Toledo. With a PhD from Michigan State University, he specializes in nonparametric regression, spline smoothing, and time series analysis.

Research develops statistical methods for generalized additive models, simultaneous confidence bands, and econometric applications. Recent work includes COVID-19 impact studies and volatility modeling in financial time series.

Publications demonstrate methodological innovations in semiparametric GARCH modeling and empirical likelihood inference techniques with applications across disciplines.