Mean likelihood estimators. - A. Ian McLeod; Benoit Quenneville (Stat. Comput., 2001)

Power Computations for Intervention Analysis. - A. Ian McLeod; E. R. Vingilis (Technometrics, 2005)

Improved Pena-Rodriguez portmanteau test. - Jen-Wen Lin; A. Ian McLeod (Comput. Stat. Data Anal., 2006)

Faster ARMA maximum likelihood estimation. - A. Ian McLeod; Ying Zhang (Comput. Stat. Data Anal., 2008)

Developments in Maximum Likelihood Unit Root Tests. - Ying Zhang; Hao Yu; A. Ian McLeod (Commun. Stat. Simul. Comput., 2013)

On Learning Contrastive Representations for Learning with Noisy Labels. - Li Yi; Sheng Liu; Qi She; A. Ian McLeod; Boyu Wang 004 (CVPR, 2022)

When Source-Free Domain Adaptation Meets Learning with Noisy Labels. - Li Yi; Gezheng Xu; Pengcheng Xu 008; Jiaqi Li 005; Ruizhi Pu; Charles Ling 001; A. Ian McLeod; Boyu Wang 004 (ICLR, 2023)

Uniform Noise Distribution and Compact Clusters: Unveiling the Success of Self-Supervised Learning in Label Noise. - Pengcheng Xu 008; Li Yi; Gezheng Xu; Xi Chen; A. Ian McLeod; Charles Ling 001; Boyu Wang 004 (Trans. Mach. Learn. Res., 2025)

Unraveling the Mysteries of Label Noise in Source-Free Domain Adaptation: Theory and Practice. - Gezheng Xu; Li Yi; Pengcheng Xu 008; Jiaqi Li 005; Ruizhi Pu; Changjian Shui; A. Ian McLeod; Boyu Wang 004; Charles Ling 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)