Bo Wang
Bo Wang
Department of Mathematics, University of Leicester, UK
Verified email at - Homepage
Cited by
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Convergence properties of a general algorithm for calculating variational Bayesian estimates for a normal mixture model
B Wang, DM Titterington
Bayesian Analysis 1 (3), 625-650, 2006
Inadequacy of interval estimates corresponding to variational Bayesian approximations.
B Wang, DM Titterington
AISTATS, 373-380, 2005
Gaussian process functional regression modeling for batch data
JQ Shi, B Wang, R Murray‐Smith, DM Titterington
Biometrics 63 (3), 714-723, 2007
Curve prediction and clustering with mixtures of Gaussian process functional regression models
JQ Shi, B Wang
Statistics and Computing 18 (3), 267-283, 2008
Convergence and asymptotic normality of variational Bayesian approximations for exponential family models with missing values
B Wang, DM Titterington
Proceedings of the 20th conference on Uncertainty in artificial intelligence …, 2004
Infinite time interval BSDEs and the convergence of g-martingales
Z Chen, B Wang
Journal of the Australian Mathematical Society (Series A) 69 (02), 187-211, 2000
The role of host and microbial factors in the pathogenesis of pneumococcal bacteraemia arising from a single bacterial cell bottleneck
A. Gerlini, L. Colomba, L. Furi, T. Braccini, A.S. Manso, A. Pammolli, Bo ...
PLoS Pathogens 10 (3), 2014
Gaussian process regression with multiple response variables
B Wang, T Chen
Chemometrics and Intelligent Laboratory Systems 142, 159-165, 2015
How priors of initial hyperparameters affect Gaussian process regression models
Z Chen, B Wang
Neurocomputing 275, 1702-1710, 2018
Generalized Gaussian Process Regression Model for Non-Gaussian Functional Data
B Wang, JQ Shi
Journal of the American Statistical Association 109 (507), 1123-1133, 2014
Mixed‐effects Gaussian process functional regression models with application to dose–response curve prediction
JQ Shi, B Wang, EJ Will, RM West
Statistics in Medicine 31 (26), 3165-3177, 2012
Lack of consistency of mean field and variational Bayes approximations for state space models
B Wang, DM Titterington
Neural processing letters 20 (3), 151-170, 2004
Multivariate Gaussian and Student-t process regression for multi-output prediction
Z Chen, B Wang, AN Gorban
Neural Computing and Applications 32 (8), 3005-3028, 2020
A Gaussian process regression approach to a single-index model
T Choi, JQ Shi, B Wang
Journal of Nonparametric Statistics 23 (1), 21-36, 2011
Bayesian variable selection for Gaussian process regression: Application to chemometric calibration of spectrometers
T Chen, B Wang
Neurocomputing 73 (13-15), 2718-2726, 2010
Re: A randomized controlled trial comparing fresh, dried and dried‐then‐rehydrated temporalis fascia in myringoplasty
N Sethi, Y Bajaj, B Wang, S Gunasekaran, A Coatesworth
Clinical Otolaryngology 33 (5), 496-497, 2008
Kriging meta‐model assisted calibration of computational fluid dynamics models
OT Kajero, RB Thorpe, T Chen, B Wang, Y Yao
AIChE Journal 62 (12), 4308-4320, 2016
Gaussian process regression method for forecasting of mortality rates
R Wu, B Wang
Neurocomputing 316, 232-239, 2018
Gaussian process methods for nonparametric functional regression with mixed predictors
B Wang, A Xu
Computational Statistics & Data Analysis 131, 80-90, 2019
Variational bayes estimation of mixing coefficients
B Wang, D Titterington
Deterministic and statistical methods in machine learning, 281-295, 2005
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