6 citations · 10 across the 8 of their papers we have counts for
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stat.CO2023
Semi-supervised Gaussian mixture modelling with a missing-data mechanism in R
Ziyang Lyu, Daniel Ahfock, Ryan Thompson +1
Semi-supervised learning is being extensively applied to estimate classifiers from training data in which not all the labels of the feature vectors are available. We present gmmssl…
stat.CO2019★ 6 cited
Distributed Computation for Marginal Likelihood based Model Choice
Alexander Buchholz, Daniel Ahfock, Sylvia Richardson
We propose a general method for distributed Bayesian model choice, using the marginal likelihood, where a data set is split in non-overlapping subsets. These subsets are only acces…