Greg’s current research interests are: Functional Data Analysis, Time Series Analysis, Change Point Analysis, Panel Data, and Central Limit Theory for Stationary Processes.
Greg Rice is an Assistant Professor in the Department of Statistics and Actuarial Science at the University of Waterloo. Greg received a PhD in Mathematics from the University of Utah in 2015 and a BS in Mathematics from Oregon State University in 2010.
- I. Berkes, L. Horvath and G. Rice, Weak invariance principles for sums of dependent random functions, Stochastic Processes and Their Applications,2013, 123, pgs. 385--403.
- L. Horvath, P. Kokoszka, and G. Rice, Testing stationarity of functional time series, Journal of Econometrics, 2014, 179, pgs. 66--82.
- L. Horvath and G. Rice, Testing equality of means when the observations are from functional time series, Journal of Time Series Analysis, 2015, 36, pgs. 88--108.