Piotr Kokoszka studies functional data analysis, time series and spatial statistical methods. His Colorado State University homepage describes inference for observations that can themselves be curves.[ref]
With Lajos Horváth and Ron Reeder, he developed estimation and statistical hypothesis testing for mean curves under temporal dependence. Averaging many curves requires a covariance accounting for correlation between successive observations; treating the curves as independent can misstate uncertainty.[ref]
Estimation of the Mean of Functional Time Series and a Two-Sample Problem by Lajos Horváth and others. Sections 2–3, asymptotic covariance and two-sample procedure
Piotr Kokoszka
. Portrait identified by the author's Colorado State University homepage. Source. New to topics? Read the docs here!