| 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 | 129 | 2006 |
| Inadequacy of interval estimates corresponding to variational Bayesian approximations. B Wang, DM Titterington AISTATS, 373-380, 2005 | 105 | 2005 |
| Gaussian process functional regression modeling for batch data JQ Shi, B Wang, R Murray‐Smith, DM Titterington Biometrics 63 (3), 714-723, 2007 | 93 | 2007 |
| 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 | 74* | 2004 |
| Curve prediction and clustering with mixtures of Gaussian process functional regression models JQ Shi, B Wang Statistics and Computing 18 (3), 267-283, 2008 | 70 | 2008 |
| 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 | 63 | 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 | 44 | 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 | 44 | 2014 |
| 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 | 43 | 2004 |
| Gaussian process regression with multiple response variables B Wang, T Chen Chemometrics and Intelligent Laboratory Systems 142, 159-165, 2015 | 42 | 2015 |
| 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 | 41 | 2012 |
| Bayesian variable selection for Gaussian process regression: Application to chemometric calibration of spectrometers T Chen, B Wang Neurocomputing 73 (13-15), 2718-2726, 2010 | 36 | 2010 |
| 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 | 35 | 2011 |
| How priors of initial hyperparameters affect Gaussian process regression models Z Chen, B Wang Neurocomputing 275, 1702-1710, 2018 | 30 | 2018 |
| 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 | 26 | 2020 |
| 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 | 22* | 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 | 17 | 2016 |
| Gaussian process regression method for forecasting of mortality rates R Wu, B Wang Neurocomputing 316, 232-239, 2018 | 11 | 2018 |
| Variational bayes estimation of mixing coefficients B Wang, D Titterington Deterministic and statistical methods in machine learning, 281-295, 2005 | 11 | 2005 |
| Gaussian process regression with functional covariates and multivariate response B Wang, T Chen, A Xu Chemometrics and Intelligent Laboratory Systems 163, 1-6, 2017 | 8 | 2017 |
Tao ChenUniversity of SurreyVerified email at surrey.ac.uk
