Luke A. Prendergast

Publication Activity (10 Years)

Years Active: 2008-2022
Publications (10 Years): 8

Top Topics

Linear Discriminant

Class Separability

Convolutional Neural Networks

Initial Estimates

Top Venues

Commun. Stat. Simul. Comput.

Publications

Luke A. Prendergast, Jodie A. Smith
Influence functions for linear discriminant analysis: Sensitivity analysis and efficient influence diagnostics. J. Multivar. Anal. 190 (2022)
Chandima N. P. G. Arachchige, Maxwell Cairns, Luke A. Prendergast
Interval estimators for ratios of independent quantiles and interquantile ranges. Commun. Stat. Simul. Comput. 50 (12) (2021)
Dilanka S. Dedduwakumara, Luke A. Prendergast
Confidence intervals for quantiles from histograms and other grouped data. Commun. Stat. Simul. Comput. 49 (6) (2020)
Aiden Nibali, Zhen He, Stuart Morgan, Luke A. Prendergast
3D Human Pose Estimation With 2D Marginal Heatmaps. WACV (2019)
Aiden Nibali, Zhen He, Stuart Morgan, Luke A. Prendergast
Numerical Coordinate Regression with Convolutional Neural Networks. CoRR (2018)
Aiden Nibali, Zhen He, Stuart Morgan, Luke A. Prendergast
3D Human Pose Estimation with 2D Marginal Heatmaps. CoRR (2018)
Malathi S. I. Dona, Luke A. Prendergast, Suresh Mathivanan, Shivakumar Keerthikumar, Agus Salim
Powerful differential expression analysis incorporating network topology for next-generation sequencing data. Bioinform. 33 (10) (2017)
Luke A. Prendergast, Alan F. Healey
Improving estimated sufficient summary plots in dimension reduction using minimization criteria based on initial estimates. Comput. Stat. 31 (3) (2016)
Luke A. Prendergast, Connie Li Wai Suen
A new and practical influence measure for subsets of covariance matrix sample principal components with applications to high dimensional datasets. Comput. Stat. Data Anal. 55 (1) (2011)
Luke A. Prendergast
Trimming influential observations for improved single-index model estimated sufficient summary plots. Comput. Stat. Data Anal. 52 (12) (2008)