Trimming influential observations for improved single-index model estimated sufficient summary plots. - Luke A. Prendergast (Comput. Stat. Data Anal., 2008)

A new and practical influence measure for subsets of covariance matrix sample principal components with applications to high dimensional datasets. - Luke A. Prendergast; Connie Li Wai Suen (Comput. Stat. Data Anal., 2011)

Improving estimated sufficient summary plots in dimension reduction using minimization criteria based on initial estimates. - Luke A. Prendergast; Alan F. Healey (Comput. Stat., 2016)

Powerful differential expression analysis incorporating network topology for next-generation sequencing data. - Malathi S. I. Dona; Luke A. Prendergast; Suresh Mathivanan; Shivakumar Keerthikumar; Agus Salim (Bioinform., 2017)

Numerical Coordinate Regression with Convolutional Neural Networks. - Aiden Nibali; Zhen He 002; Stuart Morgan; Luke A. Prendergast (CoRR, 2018)

3D Human Pose Estimation With 2D Marginal Heatmaps. - Aiden Nibali; Zhen He 002; Stuart Morgan; Luke A. Prendergast (WACV, 2019)

Confidence intervals for quantiles from histograms and other grouped data. - Dilanka S. Dedduwakumara; Luke A. Prendergast (Commun. Stat. Simul. Comput., 2020)

Interval estimators for ratios of independent quantiles and interquantile ranges. - Chandima N. P. G. Arachchige; Maxwell Cairns; Luke A. Prendergast (Commun. Stat. Simul. Comput., 2021)

Influence functions for linear discriminant analysis: Sensitivity analysis and efficient influence diagnostics. - Luke A. Prendergast; Jodie A. Smith (J. Multivar. Anal., 2022)