no code implementations • 2 Nov 2020 • Xiaoyu Hu, Fang Yao
Functional principal component analysis (FPCA) is a fundamental tool and has attracted increasing attention in recent decades, while existing methods are restricted to data with a single or finite number of random functions (much smaller than the sample size $n$).
Methodology
no code implementations • 4 Sep 2014 • Siamak Ravanbakhsh, Philip Liu, Trent Bjorndahl, Rupasri Mandal, Jason R. Grant, Michael Wilson, Roman Eisner, Igor Sinelnikov, Xiaoyu Hu, Claudio Luchinat, Russell Greiner, David S. Wishart
This information can be extracted from a biofluid's NMR spectrum.
