Daniel Ahfock

12 papers Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2023 J jnl
On randomized sketching algorithms and the Tracy-Widom law.
Stat. Comput.
Daniel Ahfock, William J. Astle, Sylvia Richardson
2022 J jnl
On randomized sketching algorithms and the Tracy-Widom law.
CoRR
Daniel Ahfock, William J. Astle, Sylvia Richardson
2022 J jnl
Some Simulation and Empirical Results for Semi-Supervised Learning of the Bayes Rule of Allocation.
CoRR
Ziyang Lyu, Daniel Ahfock, Geoffrey J. McLachlan
2022 J jnl
Statistical file-matching of non-Gaussian data: A game theoretic approach.
Comput. Stat. Data Anal.
Daniel Ahfock, Saumyadipta Pyne, Geoffrey J. McLachlan
2021 J jnl
Data fusion using factor analysis and low-rank matrix completion.
Stat. Comput.
Daniel Ahfock, Saumyadipta Pyne, Geoffrey J. McLachlan
2021 J jnl
Harmless label noise and informative soft-labels in supervised classification.
CoRR
Daniel Ahfock, Geoffrey J. McLachlan
2021 J jnl
Harmless label noise and informative soft-labels in supervised classification.
Comput. Stat. Data Anal.
Daniel Ahfock, Geoffrey J. McLachlan
2021 J jnl
Semi-Supervised Learning of Classifiers from a Statistical Perspective: A Brief Review.
CoRR
Daniel Ahfock, Geoffrey J. McLachlan
2020 J jnl
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.
Stat. Comput.
Daniel Ahfock, Geoffrey J. McLachlan
2020 J jnl
Estimation of Classification Rules from Partially Classified Data.
CoRR
Geoffrey J. McLachlan, Daniel Ahfock
2016 J jnl
Partial identification in the statistical matching problem.
Comput. Stat. Data Anal.
Daniel Ahfock, Saumyadipta Pyne, Sharon X. Lee, Geoffrey J. McLachlan
2014 — conf
Transdimensional sequential Monte Carlo for hidden Markov models using variational Bayes - SMCVB.
FedCSIS (Position Papers)
Clare McGrory, Daniel Ahfock