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Insha Ullah
Insha Ullah
Postdoctoral Fellow in Statistics, Australian National University
Dirección de correo verificada de anu.edu.au
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Associations between dietary patterns, socio-demographic factors and anthropometric measurements in adult New Zealanders: an analysis of data from the 2008/09 New Zealand Adult …
KL Beck, B Jones, I Ullah, SA McNaughton, SJ Haslett, W Stonehouse
European journal of nutrition 57, 1421-1433, 2018
792018
Insha’ s Redescending M-estimator for Robust Regression: A Comparative Study
I Ullah, MF Qadir, A Ali
Pakistan journal of statistics and operation research, 135-144, 2006
292006
Regularised MANOVA for high‐dimensional data
I Ullah, B Jones
Australian & New Zealand Journal of Statistics 57 (3), 377-389, 2015
182015
Bayesian mixture models and their Big Data implementations with application to invasive species presence-only data
I Ullah, K Mengersen
Journal of Big Data 6 (1), 29, 2019
72019
Significance tests for analyzing gene expression data with small sample sizes
I Ullah, S Paul, Z Hong, YG Wang
Bioinformatics 35 (20), 3996-4003, 2019
62019
Improving the detection of unusual observations in high‐dimensional settings
I Ullah, MDM Pawley, ANH Smith, B Jones
Australian & New Zealand Journal of Statistics 59 (4), 449-462, 2017
62017
A survey of Bayesian statistical approaches for big data
F Jahan, I Ullah, KL Mengersen
Case Studies in Applied Bayesian Data Science: CIRM Jean-Morlet Chair, Fall …, 2020
52020
Contributions to high-dimensional data analysis: some applications of the regularized covariance matrices
I Ullah
Ph. D thesis, 2015
52015
A review of the Behrens–Fisher problem and some of its analogs: Does the same size fit all?
S Paul, YG Wang, I Ullah
Revstat Statistical Journal 17 (4), 2019
42019
Detection of cybersecurity attacks through analysis of web browsing activities using principal component analysis
I Ullah, K Mengersen, RJ Hyndman, J McGree
arXiv preprint arXiv:2107.12592, 2021
32021
Using a supervised principal components analysis for variable selection in high-dimensional datasets reduces false discovery rates
I Ullah, K Mengersen, A Pettitt, B Liquet
bioRxiv, 2020
12020
Application of Bayesian Mixture Models to Satellite Images and Estimating the Risk of Fire-Ant Incursion in the Identified Geographical Cluster
I Ullah, KL Mengersen
Case Studies in Applied Bayesian Data Science: CIRM Jean-Morlet Chair, Fall …, 2020
2020
Contributions to high-dimensional data analysis: some applications of the regularized covariance matrices: a thesis submitted in partial fulfilment of the requirements for the …
I Ullah
Massey University, 2015
2015
Hierarchical covariance selection models
I Ullah, B Jones
Available online http://www.statmod.org/files/proceedings …, 2012
2012
Robust estimating equations with data-dependent tuning parameters in longitudinal data analysis
YG Wang, I Ullah
Supplementary materials for Significance tests for analyzing gene expression data with small sample sizes
I Ullah, S Paul, Z Hong, YG Wang
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Artículos 1–16