Robust Functional Principal Component Analysis for Non-Gaussian Longitudinal Data

no code implementations • 1 Feb 2021 • Rou Zhong, Shishi Liu, Jingxiao Zhang, Haocheng Li

Functional principal component analysis is essential in functional data analysis, but the inferences will become unconvincing when some non-Gaussian characteristics occur, such as heavy tail and skewness.

Methodology

Understanding the drivers of sustainable land expansion using a patch-level simulation model: A case study in Wuhan, China

no code implementations • 22 Oct 2020 • Xun Liang, Qingfeng Guan, Keith C. Clarke, Shishi Liu, Bingyu Wang, Yao Yao

The change complexity lies in the detailed scale of high granularity data, and in the geometric units used to simulate the change.

Computers and Society