most citedConcurrence: A dependence criterion for time series, applied to biological data

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

stat.AP2026

Is Stephen Curry really a guard? A new perspective on player typologies using functional data analysis

Steven Golovkine, Edward Gunning

We present a novel representation of NBA players' shooting patterns based on Functional Data Analysis (FDA). Each player's charts of made and missed shots are treated as smooth fun…

eess.SP20261 cited

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…

stat.ME2026

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…

stat.ME2025

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…

stat.ME2025

On the estimation of the number of components in multivariate functional principal component analysis

Steven Golovkine, Edward Gunning, Andrew J. Simpkin +1

Happ and Greven (2018) developed a methodology for principal components analysis of multivariate functional data observed on different dimensional domains. Their approach relies on…