Sara Wade
Sara Wade
Bestätigte E-Mail-Adresse bei ed.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
722015
Bayesian cluster analysis: Point estimation and credible balls (with discussion)
S Wade, Z Ghahramani
Bayesian Analysis 13 (2), 559-626, 2018
682018
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
512014
An enriched conjugate prior for Bayesian nonparametric inference
S Wade, S Mongelluzzo, S Petrone
Bayesian Analysis 6 (3), 359-385, 2011
352011
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
202020
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
192014
Alzheimer's disease biomarkers as outcome measures for clinical trials in MCI
A Caroli, A Prestia, S Wade, K Chen, N Ayutyanont, SM Landau, ...
Alzheimer disease and associated disorders 29 (2), 101, 2015
132015
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
122014
Pseudo-marginal Bayesian inference for Gaussian process latent variable models
C Gadd, S Wade, AA Shah
Machine Learning, 1-39, 2021
4*2021
Enriched mixtures of generalised Gaussian process experts
C Gadd, S Wade, A Boukouvalas
International Conference on Artificial Intelligence and Statistics, 3144-3154, 2020
42020
Ultra-fast Deep Mixtures of Gaussian Process Experts
C Etienam, K Law, S Wade
arXiv preprint arXiv:2006.13309, 2020
22020
Bayesian Nonparametric Regression Through Mixture Models
S Wade
Ph. D. thesis, Bocconi University, 2013
22013
On MCMC for variationally sparse Gaussian processes: A pseudo-marginal approach
K Monterrubio-Gómez, S Wade
arXiv preprint arXiv:2103.03321, 2021
2021
Colombian Women’s Life Patterns: A Multivariate Density Regression Approach
S Wade, R Piccarreta, A Cremaschi, I Antoniano-Villalobos
Bayesian Analysis, 2021
2021
Bayesian Statistics and New Generations: BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions
R Argiento, D Durante, S Wade
Springer Nature, 2019
2019
Supplementary material for Bayesian cluster analysis: Point estimation and credible balls
S Wade, Z Ghahramani
Bayesian Analysis, 2017
2017
Package ‘mcclust. ext’
S Wade, MS Wade
Journal of Computational and Graphical Statistics 16, 526-558, 2015
2015
P4–066: Alzheimer's disease biomarkers as outcome measures for clinical trials
A Caroli, A Prestia, S Wade, K Chen, N Ayutyanont, S Landau, C Madison, ...
Alzheimer's & Dementia 9, P727-P728, 2013
2013
Supplementary Material for “Colombian Women’s Life Patterns: A Multivariate Density Regression Approach”
S Wade, R Piccarreta, A Cremaschi, I Antoniano-Villalobos
Bayesian Statistics and New Generations
R Argiento, D Durante, S Wade
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