3 papers
stat.AP2016
Prediction of tool-wear in turning of medical grade cobalt chromium molybdenum alloy (ASTM F75) using non-parametric Bayesian models
Damien McParland, Szymon Baron, Sarah O'Rourke +3
We present a novel approach to estimating the effect of control parameters on tool wear rates and related changes in the three force components in turning of medical grade Co-Cr-Mo…
stat.AP2016
Clustering high dimensional mixed data to uncover sub-phenotypes:joint analysis of phenotypic and genotypic data
Damien McParland, Catherine M. Phillips, Lorraine Brennan +2
The LIPGENE-SU.VI.MAX study, like many others, recorded high dimensional continuous phenotypic data and categorical genotypic data. LIPGENE-SU.VI.MAX focuses on the need to account…
stat.ME2015
Model Based Clustering for Mixed Data: clustMD
Damien McParland, Isobel Claire Gormley
A model based clustering procedure for data of mixed type, clustMD, is developed using a latent variable model. It is proposed that a latent variable, following a mixture of Gaussi…