Virginia Tech

Self-normalization tests for change points in functional time series

Change point detection for functional time series has attracted considerable attention. Existing methods either rely on functional principal component analysis (FPCA), whose finite dimensional projection may perform poorly with complex data, or use bootstrap approaches whose test...

Parametric Study of Yields and Properties of Corn Stover-Derived Hydrothermal Liquefaction Products by Using Statistical Approaches

Hydrothermal liquefaction (HTL) of lignocellulosic biomass produces multiple product fractions, including solid residue (SR), heavy bio-oil (HBO), aqueous phase (AP), and light bio-oil (LBO). This study mainly applied principal component analysis (PCA) and regression modeling to...