Partially smooth tail-index estimation for small samples. - Samuel Müller 001; Houng Chhay (Comput. Stat., 2011)

Revisiting fitting monotone polynomials to data. - Kevin Murray 002; Samuel Müller 001; Berwin A. Turlach (Comput. Stat., 2013)

Identification of important regressor groups, subgroups and individuals via regularization methods: application to gut microbiome data. - Tanya P. Garcia; Samuel Müller 001; Raymond J. Carroll; Rosemary L. Walzem (Bioinform., 2014)

Inferring data-specific micro-RNA function through the joint ranking of micro-RNA and pathways from matched micro-RNA and gene expression data. - Ellis Patrick; Michael J. Buckley; Samuel Müller 001; David M. Lin; Jean Yee Hwa Yang (Bioinform., 2015)

Robust estimation of precision matrices under cellwise contamination. - Garth Tarr; Samuel Müller 001; Neville C. Weber (Comput. Stat. Data Anal., 2016)

On generalized degrees of freedom with application in linear mixed models selection. - Chong You; Samuel Müller 001; John T. Ormerod (Stat. Comput., 2016)

2nd special issue on robust analysis of complex data. - Samuel Müller 001; Graciela Boente; Christophe Croux; Juan Romo; Stefan Van Aelst (Comput. Stat. Data Anal., 2017)

bcGST - an interactive bias-correction method to identify over-represented gene-sets in boutique arrays. - Kevin Y. X. Wang; Alexander M. Menzies; Ines P. Silva; James S. Wilmott; Yibing Yan; Matthew Wongchenko; Richard F. Kefford; Richard A. Scolyer; Georgina V. Long; Garth Tarr; Samuel Müller 001; Jean Yee Hwa Yang (Bioinform., 2019)

LC-N2G: a local consistency approach for nutrigenomics data analysis. - Xiangnan Xu; Samantha Solon-Biet; Alistair M. Senior; David Raubenheimer; Stephen J. Simpson; Luigi Fontana; Samuel Müller 001; Jean Yee Hwa Yang (BMC Bioinform., 2020)

The LASSO on latent indices for regression modeling with ordinal categorical predictors. - Francis K. C. Hui; Samuel Müller 001; Alan H. Welsh (Comput. Stat. Data Anal., 2020)

MCVIS: A New Framework for Collinearity Discovery, Diagnostic, and Visualization. - Chen Lin; Kevin Y. X. Wang; Samuel Müller 001 (J. Comput. Graph. Stat., 2021)

Cross-Platform Omics Prediction procedure: a statistical machine learning framework for wider implementation of precision medicine. - Kevin Y. X. Wang; Gulietta M. Pupo; Varsha Tembe; Ellis Patrick; Dario Strbenac; Sarah-Jane Schramm; John F. Thompson; Richard A. Scolyer; Samuel Müller 001; Garth Tarr; Graham J. Mann; Jean Yee Hwa Yang (npj Digit. Medicine, 2022)

Surface Area Estimation Using 3D Point Clouds and Delaunay Triangulation. - Helia Farhood; Samuel Müller 001; Amin Beheshti (ICR, 2023)

eNODAL: an experimentally guided nutriomics data clustering method to unravel complex drug-diet interactions. - Xiangnan Xu; Alistair M. Senior; David G. Le Couteur; Victoria C. Cogger; David Raubenheimer; David E. James; Benjamin Parker; Stephen J. Simpson; Samuel Müller 001; Jean Y. H. Yang (Briefings Bioinform., 2024)

Robust variable selection methods with Cox model - a selective practical benchmark study. - Yunwei Zhang; Samuel Müller 001 (Briefings Bioinform., 2024)

Advancing student outcome predictions through generative adversarial networks. - Helia Farhood; Ibrahim Nabeel Joudah; Amin Beheshti; Samuel Müller 001 (Comput. Educ. Artif. Intell., 2024)

CR-Lasso: Robust cellwise regularized sparse regression. - Peng Su; Garth Tarr; Samuel Müller 001; Suojin Wang (Comput. Stat. Data Anal., 2024)

Evaluating and Enhancing Artificial Intelligence Models for Predicting Student Learning Outcomes. - Helia Farhood; Ibrahim Nabeel Joudah; Amin Beheshti; Samuel Müller 001 (Informatics, 2024)

COMBSS: best subset selection via continuous optimization. - Sarat Babu Moka; Benoit Liquet; Houying Zhu; Samuel Müller 001 (Stat. Comput., 2024)

Likelihood-based surrogate dimension reduction. - Linh H. Nghiem; Francis K. C. Hui; Samuel Müller 001; Alan H. Welsh (Stat. Comput., 2024)

A Scalable Gradient-Based Optimization Framework for Sparse Minimum-Variance Portfolio Selection. - Sarat Babu Moka; Matias Quiroz; Vali Asimit; Samuel Müller 001 (CoRR, 2025)

Air-HOLP: adaptive regularized feature screening for high dimensional correlated data. - Ibrahim Nabeel Joudah; Samuel Müller 001; Houying Zhu (Stat. Comput., 2025)

A Kidney Transplant Support System for Patient-Clinician Shared Decision-Making. - Yunwei Zhang; Marni Torkel; Samuel Müller 001; Germaine Wong; Jean Yang (J. Medical Syst., 2025)

Random effects misspecification and its consequences for prediction in generalized linear mixed models. - Quan Vu; Francis K. C. Hui; Samuel Muller 001; Alan H. Welsh (Comput. Stat. Data Anal., 2026)