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Bo Wang
Bo Wang
Department of Mathematics, University of Leicester, UK
Verified email at le.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
1382006
Inadequacy of interval estimates corresponding to variational Bayesian approximations.
B Wang, DM Titterington
AISTATS, 373-380, 2005
1162005
Gaussian process functional regression modeling for batch data
JQ Shi, B Wang, R Murray‐Smith, DM Titterington
Biometrics 63 (3), 714-723, 2007
1002007
Curve prediction and clustering with mixtures of Gaussian process functional regression models
JQ Shi, B Wang
Statistics and Computing 18 (3), 267-283, 2008
772008
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
76*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
672000
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
592014
Gaussian process regression with multiple response variables
B Wang, T Chen
Chemometrics and Intelligent Laboratory Systems 142, 159-165, 2015
552015
How priors of initial hyperparameters affect Gaussian process regression models
Z Chen, B Wang
Neurocomputing 275, 1702-1710, 2018
522018
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
492014
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
492012
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
462004
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
412020
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
402011
Bayesian variable selection for Gaussian process regression: Application to chemometric calibration of spectrometers
T Chen, B Wang
Neurocomputing 73 (13-15), 2718-2726, 2010
392010
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
23*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
192016
Gaussian process regression method for forecasting of mortality rates
R Wu, B Wang
Neurocomputing 316, 232-239, 2018
182018
Gaussian process methods for nonparametric functional regression with mixed predictors
B Wang, A Xu
Computational Statistics & Data Analysis 131, 80-90, 2019
122019
Variational bayes estimation of mixing coefficients
B Wang, D Titterington
Deterministic and statistical methods in machine learning, 281-295, 2005
112005
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