JE Barrett and ACC Coolen, Statistics in Medicine (2015), DOI: 10.1002/sim.6784
Covariate dimension reduction for survival data via the Gaussian process latent variable model
W Wulaningsih et al, BMC Cancer (2015), DOI 10.1186/s12885-015-1928-z
Prediagnostic serum glucose and lipids in relation to survival in breast cancer patients: a competing risk analysis
A Shalabi, M Inoue, J Watkins, E De Rinaldis and ACC Coolen, Stat. Meth. Med. Res. (1016), DOI 10.1177//0962280216628901
Bayesian clinical classi cation from high-dimensional data: signatures versus variability
MI Rowley, ACC Coolen, B Vojnovic and PR Barber, PLOS ONE (2016), DOI:10.1371/journal.pone.0158404
Robust Bayesian fluorescence lifetime estimation, decay model selection and instrument response determination
for low-intensity FLIM imaging
M Rowley, H Garmo, M Van Hemelrijck, W Wulaningsih, B Grundmark, B Zethelius, N Hammar, G Walldius, M Inoue, L Holmberg and ACC Coolen,
Statistics in Medicine (2017), DOI: 10.1002/sim.7246
A latent class model for competing risks
ACC Coolen, JE Barrett, P Paga and CJ Perez-Vicente, J. Phys. A: Math. Theor. 50 (2017) 375001
Replica analysis of overfitting in regression models for time-to-event data
A Mozeika and ACC Coolen, Phys. Rev. E98 (2018) 042133
Mean field theory of Bayesian clustering
M Sheikh and ACC Coolen, Journal of Classification (2019) https://doi.org/10.1007/s00357-019-09316-6
Accurate Bayesian data classification
without hyperparameter cross-validation