Bayesian cluster analysis: Point estimation and credible balls (with discussion) S Wade, Z Ghahramani
215 2018 Prediction of AD dementia by biomarkers following the NIA-AA and IWG diagnostic criteria in MCI patients from three European memory clinics A Prestia, A Caroli, SK Wade, WM van der Flier, R Ossenkoppele, ...
Alzheimer's & Dementia 11 (10), 1191-1201, 2015
101 2015 Improving prediction from Dirichlet process mixtures via enrichment S Wade, DB Dunson, S Petrone, L Trippa
The Journal of Machine Learning Research 15 (1), 1041-1071, 2014
81 2014 An enriched conjugate prior for Bayesian nonparametric inference S Wade, S Mongelluzzo, S Petrone
58 2011 Mapping of machine learning approaches for description, prediction, and causal inference in the social and health sciences AK Leist, M Klee, JH Kim, DH Rehkopf, SPA Bordas, G Muniz-Terrera, ...
Science Advances 8 (42), eabk1942, 2022
43 * 2022 Posterior inference for sparse hierarchical non-stationary models K Monterrubio-Gómez, L Roininen, S Wade, T Damoulas, M Girolami
Computational Statistics & Data Analysis 148, 106954, 2020
37 2020 A predictive study of Dirichlet process mixture models for curve fitting S Wade, SG Walker, S Petrone
Scandinavian Journal of Statistics 41 (3), 580-605, 2014
25 2014 A Bayesian nonparametric regression model with normalized weights: A study of hippocampal atrophy in Alzheimer’s disease I Antoniano-Villalobos, S Wade, SG Walker
Journal of the American Statistical Association 109 (506), 477-490, 2014
25 2014 Enriched mixtures of generalised Gaussian process experts C Gadd, S Wade, A Boukouvalas
International Conference on Artificial Intelligence and Statistics, 3144-3154, 2020
17 * 2020 Bayesian cluster analysis S Wade
Philosophical Transactions of the Royal Society A 381 (2247), 20220149, 2023
16 2023 Alzheimer disease biomarkers as outcome measures for clinical trials in MCI A Caroli, A Prestia, S Wade, K Chen, N Ayutyanont, SM Landau, ...
Alzheimer Disease & Associated Disorders 29 (2), 101-109, 2015
15 2015 Pseudo-marginal Bayesian inference for Gaussian process latent variable models C Gadd, S Wade, AA Shah
Machine Learning 110, 1105-1143, 2021
8 * 2021 mcclust. ext: Point estimation and credible balls for Bayesian cluster analysis S Wade
R package version 1, 2015
7 2015 Ultra-fast Deep Mixtures of Gaussian Process Experts C Etienam, K Law, S Wade
arXiv preprint arXiv:2006.13309, 2020
6 2020 Bayesian nonparametric regression through mixture models S Wade
Universitŕ Bocconi, 2013
6 2013 Prediction of AD dementia by biomarkers following the NIA-AA and IWG diagnostic criteria in MCI patients from three European memory clinics. Alzheimers Dement. 2015. S1552-5260 … A Prestia, A Caroli, SK Wade, WM van der Flier, R Ossenkoppele, BB Van
JAMA J Am Med Assoc 302, 2593-4, 2009
5 2009 Shared differential clustering across single-cell RNA sequencing datasets with the hierarchical Dirichlet process J Liu, S Wade, N Bochkina
Econometrics and Statistics, 2024
4 2024 Leveraging variational autoencoders for multiple data imputation B Roskams-Hieter, J Wells, S Wade
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
4 2023 Mixtures of Gaussian Process Experts with SMC T Härkönen, S Wade, K Law, L Roininen
arXiv preprint arXiv:2208.12830, 2022
3 2022 Package ‘mcclust. ext’ S Wade, MS Wade
Journal of Computational and Graphical Statistics 16, 526-558, 2015
3 2015 
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
