| Convergence properties of a general algorithm for calculating variational Bayesian estimates for a normal mixture model DM Titterington, B Wang Bayesian Analysis 1 (3), 625-650, 2006 | 161 | 2006 |
| Inadequacy of interval estimates corresponding to variational Bayesian approximations B Wang, DM Titterington International Workshop on Artificial Intelligence and Statistics, 373-380, 2005 | 137 | 2005 |
| Gaussian process functional regression modeling for batch data JQ Shi, B Wang, R Murray‐Smith, DM Titterington Biometrics 63 (3), 714-723, 2007 | 122 | 2007 |
| Gaussian process regression with multiple response variables B Wang, T Chen Chemometrics and Intelligent Laboratory Systems 142, 159-165, 2015 | 99 | 2015 |
| 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 | 95 | 2020 |
| How priors of initial hyperparameters affect Gaussian process regression models Z Chen, B Wang Neurocomputing 275, 1702-1710, 2018 | 93 | 2018 |
| Curve prediction and clustering with mixtures of Gaussian process functional regression models JQ Shi, B Wang Statistics and Computing 18 (3), 267-283, 2008 | 90 | 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 | 79* | 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 | 74 | 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 | 72 | 2014 |
| 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 | 63 | 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 | 57 | 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 | 54 | 2004 |
| 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 | 50 | 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 | 43 | 2010 |
| Immunization with a DNA vaccine cocktail encoding TgPF, TgROP16, TgROP18, TgMIC6, and TgCDPK3 genes protects mice against chronic toxoplasmosis NZ Zhang, Q Gao, M Wang, HM Elsheikha, B Wang, JL Wang, FK Zhang, ... Frontiers in Immunology 9, 1505, 2018 | 31 | 2018 |
| Prevalence of feline lungworm Aelurostrongylus abstrusus in England HM Elsheikha, I Wright, B Wang, R Schaper Veterinary Parasitology: Regional Studies and Reports 16, 100271, 2019 | 29 | 2019 |
| Gaussian process regression method for forecasting of mortality rates R Wu, B Wang Neurocomputing 316, 232-239, 2018 | 29 | 2018 |
| 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 | 29* | 2008 |
| Gaussian process methods for nonparametric functional regression with mixed predictors B Wang, A Xu Computational Statistics & Data Analysis 131, 80-90, 2019 | 25 | 2019 |
Tao ChenProfessor, University of SurreyVerified email at surrey.ac.uk
