192 citations · 426 across the 48 of their papers we have counts for
22 papers · 1 filter
Functional Mixtures-of-Experts
Faïcel Chamroukhi, Nhat Thien Pham, Van Hà Hoang +1
We consider the statistical analysis of heterogeneous data for prediction in situations where the observations include functions, typically time series. We extend the modeling with…
Data-fusion using factor analysis and low-rank matrix completion
Daniel Ahfock, Saumyadipta Pyne, Geoffrey J. McLachlan
Data-fusion involves the integration of multiple related datasets. The statistical file-matching problem is a canonical data-fusion problem in multivariate analysis, where the obje…
Order selection with confidence for finite mixture models
Hien D Nguyen, Daniel Fryer, Geoffrey McLachlan
The determination of the number of mixture components (the order) of a finite mixture model has been an enduring problem in statistical inference. We prove that the closed testing…
An Apparent Paradox: A Classifier Trained from a Partially Classified Sample May Have Smaller Expected Error Rate Than That If the Sample Were Completely Classified
Daniel Ahfock, Geoffrey J. McLachlan
There has been increasing interest in using semi-supervised learning to form a classifier. As is well known, the (Fisher) information in an unclassified feature with unknown class…
Comment on "Hidden truncation hyperbolic distributions, finite mixtures thereof and their application for clustering" Murray, Browne, and \McNicholas
Geoffrey J. McLachlan, Sharon X. Lee
We comment on the paper of Murray, Browne, and McNicholas (2017), who proposed mixtures of skew distributions, which they termed hidden truncation hyperbolic (HTH). They recently m…
On missing label patterns in semi-supervised learning
Daniel Ahfock, Geoffrey J. McLachlan
We investigate model based classification with partially labelled training data. In many biostatistical applications, labels are manually assigned by experts, who may leave some ob…