| Statistical properties of sketching algorithms DC Ahfock, WJ Astle, S Richardson Biometrika 108 (2), 283-297, 2021 | 48 | 2021 |
| Partial identification in the statistical matching problem D Ahfock, S Pyne, SX Lee, GJ McLachlan Computational statistics & data analysis 104, 79-90, 2016 | 13 | 2016 |
| Characterizing uncertainty in high-density maps from multiparental populations D Ahfock, I Wood, S Stephen, CR Cavanagh, BE Huang Genetics 198 (1), 117-128, 2014 | 12 | 2014 |
| Semi-Supervised Learning of Classifiers from a Statistical Perspective: A Brief Review D Ahfock, GJ McLachlan Econometrics and Statistics, 2022 | 10 | 2022 |
| 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 D Ahfock, GJ McLachlan Statistics and Computing 30 (6), 1779-1790, 2020 | 9 | 2020 |
| Weighted Gibbs sampling for mixture modelling of massive datasets via coresets CA McGrory, DC Ahfock, JA Horsley, CL Alston Stat 3 (1), 291-299, 2014 | 6 | 2014 |
| Statistical file-matching of non-Gaussian data: A game theoretic approach D Ahfock, S Pyne, GJ McLachlan Computational Statistics & Data Analysis 168, 107387, 2022 | 4* | 2022 |
| Distributed Computation for Marginal Likelihood based Model Choice A Buchholz, D Ahfock, S Richardson Bayesian Analysis 1 (1), 1-32, 2022 | 4 | 2022 |
| Estimation of Classification Rules from Partially Classified Data G McLachlan, D Ahfock Data Analysis and Rationality in a Complex World 16, 149-157, 2021 | 3 | 2021 |
| Harmless label noise and informative soft-labels in supervised classification D Ahfock, GJ McLachlan Computational Statistics & Data Analysis 161, 107253, 2021 | 2 | 2021 |
| Transdimensional sequential Monte Carlo for hidden Markov models using variational Bayes-SMCVB. C McGrory, D Ahfock FedCSIS (Position Papers), 61-66, 2014 | 2 | 2014 |
| Climate regime shift detection with a trans‐dimensional, sequential Monte Carlo, variational Bayes method CA McGrory, DC Ahfock, RT Lemos Australian & New Zealand Journal of Statistics 61 (2), 175-188, 2019 | 1 | 2019 |
| New statistical perspectives on efficient Big Data algorithms for high-dimensional Bayesian regression and model selection DC Ahfock University of Cambridge, 2019 | 1 | 2019 |
| Detecting Accounting Fraud with Noisy Labels D Ahfock, G McLachlan, L Yang, M Zhu Available at SSRN 4097818, 2022 | | 2022 |
| On randomized sketching algorithms and the Tracy-Widom law D Ahfock, WJ Astle, S Richardson arXiv preprint arXiv:2201.00450, 2022 | | 2022 |
| Data fusion using factor analysis and low-rank matrix completion D Ahfock, S Pyne, GJ McLachlan Statistics and Computing 31 (5), 2021 | | 2021 |
