134 citations · 375 across the 22 of their papers we have counts for
3 papers · 1 filter
Variational Inference for the Latent Shrinkage Position Model
Xian Yao Gwee, Isobel Claire Gormley, Michael Fop
The latent position model (LPM) is a popular method used in network data analysis where nodes are assumed to be positioned in a -dimensional latent space. The latent shrinkage p…
Model-based Clustering for Network Data via a Latent Shrinkage Position Cluster Model
Xian Yao Gwee, Isobel Claire Gormley, Michael Fop
Low-dimensional representation and clustering of network data are tasks of great interest across various fields. Latent position models are routinely used for this purpose by assum…
Predicting milk traits from spectral data using Bayesian probabilistic partial least squares regression
Szymon Urbas, Pierre Lovera, Robert Daly +3
High-dimensional spectral data -- routinely generated in dairy production -- are used to predict a range of traits in milk products. Partial least squares (PLS) regression is ubiqu…