Luke A. Prendergast - researchr alias

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Viewing Publication 1 - 7 from 7

2022

Influence functions for linear discriminant analysis: Sensitivity analysis and efficient influence diagnosticsLuke A. Prendergast, Jodie A. Smith. ma, 190:104993, 2022. [doi]

2021

Interval estimators for ratios of independent quantiles and interquantile rangesChandima N. P. G. Arachchige, Maxwell Cairns, Luke A. Prendergast. cssc, 50(12):3914-3930, 2021. [doi]

2020

Confidence intervals for quantiles from histograms and other grouped dataDilanka S. Dedduwakumara, Luke A. Prendergast. cssc, 49(6):1546-1559, 2020. [doi]

2017

Powerful differential expression analysis incorporating network topology for next-generation sequencing dataMalathi S. I. Dona, Luke A. Prendergast, Suresh Mathivanan, Shivakumar Keerthikumar, Agus Salim. bioinformatics, 33(10):1505-1513, 2017. [doi]

2016

Improving estimated sufficient summary plots in dimension reduction using minimization criteria based on initial estimatesLuke A. Prendergast, Alan F. Healey. cstat, 31(3):899-922, 2016. [doi]

2011

A new and practical influence measure for subsets of covariance matrix sample principal components with applications to high dimensional datasetsLuke A. Prendergast, Connie Li Wai Suen. csda, 55(1):752-764, 2011. [doi]

2008

Trimming influential observations for improved single-index model estimated sufficient summary plotsLuke A. Prendergast. csda, 52(12):5319-5327, 2008. [doi]

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