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Luke A. Prendergast
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2020 – today
- 2022
- [j7]Luke A. Prendergast, Jodie A. Smith:
Influence functions for linear discriminant analysis: Sensitivity analysis and efficient influence diagnostics. J. Multivar. Anal. 190: 104993 (2022) - 2021
- [j6]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): 3914-3930 (2021) - 2020
- [j5]Dilanka S. Dedduwakumara, Luke A. Prendergast:
Confidence intervals for quantiles from histograms and other grouped data. Commun. Stat. Simul. Comput. 49(6): 1546-1559 (2020)
2010 – 2019
- 2019
- [c1]Aiden Nibali, Zhen He, Stuart Morgan, Luke A. Prendergast:
3D Human Pose Estimation With 2D Marginal Heatmaps. WACV 2019: 1477-1485 - 2018
- [i2]Aiden Nibali, Zhen He, Stuart Morgan, Luke A. Prendergast:
Numerical Coordinate Regression with Convolutional Neural Networks. CoRR abs/1801.07372 (2018) - [i1]Aiden Nibali, Zhen He, Stuart Morgan, Luke A. Prendergast:
3D Human Pose Estimation with 2D Marginal Heatmaps. CoRR abs/1806.01484 (2018) - 2017
- [j4]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): 1505-1513 (2017) - 2016
- [j3]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): 899-922 (2016) - 2011
- [j2]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): 752-764 (2011)
2000 – 2009
- 2008
- [j1]Luke A. Prendergast:
Trimming influential observations for improved single-index model estimated sufficient summary plots. Comput. Stat. Data Anal. 52(12): 5319-5327 (2008)
Coauthor Index
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