Transdimensional sequential Monte Carlo for hidden Markov models using variational Bayes - SMCVB. - Clare McGrory; Daniel Ahfock (FedCSIS (Position Papers), 2014)

Partial identification in the statistical matching problem. - Daniel Ahfock; Saumyadipta Pyne; Sharon X. Lee; Geoffrey J. McLachlan (Comput. Stat. Data Anal., 2016)

Estimation of Classification Rules from Partially Classified Data. - Geoffrey J. McLachlan; Daniel Ahfock (CoRR, 2020)

An apparent paradox: a classifier based on a partially classified sample may have smaller expected error rate than that if the sample were completely classified. - Daniel Ahfock; Geoffrey J. McLachlan (Stat. Comput., 2020)

Semi-Supervised Learning of Classifiers from a Statistical Perspective: A Brief Review. - Daniel Ahfock; Geoffrey J. McLachlan (CoRR, 2021)

Harmless label noise and informative soft-labels in supervised classification. - Daniel Ahfock; Geoffrey J. McLachlan (Comput. Stat. Data Anal., 2021)

Data fusion using factor analysis and low-rank matrix completion. - Daniel Ahfock; Saumyadipta Pyne; Geoffrey J. McLachlan (Stat. Comput., 2021)

Some Simulation and Empirical Results for Semi-Supervised Learning of the Bayes Rule of Allocation. - Ziyang Lyu; Daniel Ahfock; Geoffrey J. McLachlan (CoRR, 2022)

Statistical file-matching of non-Gaussian data: A game theoretic approach. - Daniel Ahfock; Saumyadipta Pyne; Geoffrey J. McLachlan (Comput. Stat. Data Anal., 2022)

On randomized sketching algorithms and the Tracy-Widom law. - Daniel Ahfock; William J. Astle; Sylvia Richardson (Stat. Comput., 2023)