5 papers
Functional Moments Regression
Mingyuan Li, Martin A. Lindquist, Edward Gunning +1
The Gaussian Process (GP) assumption is often used in functional data analysis. We propose a method to assess departures from the GP assumption, both in terms of the shape of the d…
Concurrence: A dependence criterion for time series, applied to biological data
Evangelos Sariyanidi, John D. Herrington, Lisa Yankowitz +8
Measuring the statistical dependence between observed signals is a primary tool for scientific discovery. However, biological systems often exhibit complex non-linear interactions…
CLaRe: Compact near-lossless Latent Representations of High-Dimensional Object Data
Emma Zohner, Edward Gunning, Giles Hooker +1
Latent feature representation methods play an important role in the dimension reduction and statistical modeling of high-dimensional complex data objects. However, existing approac…
A Multivariate Multilevel Longitudinal Functional Model for Repeatedly Observed Human Movement Data
Edward Gunning, Steven Golovkine, Andrew J. Simpkin +7
Biomechanics and human movement research often involves measuring multiple kinematic or kinetic variables regularly throughout a movement, yielding data that present as smooth, mul…
Analysing kinematic data from recreational runners using functional data analysis
Edward Gunning, Steven Golovkine, Andrew J. Simpkin +7
We present a multivariate functional mixed effects model for kinematic data from a large number of recreational runners. The runners' sagittal plane hip and knee angles are modelle…