Newcastle University

Roles and Responsibilities

Postgraduate Tutor/selector in Statistics,

Research group leader of "Applied Statistics and Probability"

International officer 

Research Interests

• Choi T, Shi JQ, Wang B. A Gaussian process regression approach to a single-index model. Journal of Nonparametric Statistics 2011, 23(1), 21-36.
• Shi JQ, Wang B. Curve prediction and clustering with mixtures of Gaussian process functional regression models. Statistics and Computing 2008, 18(3), 267-283.
• Chootrakool H, Shi JQ. Meta-analysis of multi-arm trials using empirical logistic transform. The Open Medical Informatics Journal 2008, 2, 112-116.
• Shi JQ, Wang B, Murray-Smith R, Titterington DM. Gaussian process functional regression modeling for batch data. Biometrics 2007, 63(3), 714-723.
• Shi JQ, Murray-Smith R, Titterington DM, Pearlmutter BA. Filtered Gaussian processes for learning with large data-sets. In: Switching and Learning in Feedback Systems: European Summer School on Multi-Agent Control. 2005, Maynooth, Ireland: Springer.
• Shi JQ, Murray-Smith R, Titterington DM. Hierarchical Gaussian process mixtures for regression. Statistics and Computing 2005, 15(1), 31-41.
• Kamnik R, Shi JQ, Murray-Smith R, Bajd T. Nonlinear Modelling of FES-Supported Standing-Up in Paraplegia for Selection of Feedback Sensors. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2005, 13(1), 40-52.
• Shi JQ, Copas JB. Meta-analysis for trend estimation. Statistics in Medicine 2004, 23(1), 3-19.
• Shi JQ, Murray-Smith R, Titterington DM. Bayesian regression and classification using mixtures of Gaussian processes. International Journal of Adaptive Control and Signal Processing 2003, 17(2), 149-161.
• Shi JQ, Lee S-Y, Wei B-C. On confidence regions of structural equation Models. In: Marcoulides, G.A., Moustaki, I, ed. Latent Variable and Latent Structure Models. Mahwah, New Jersey, USA: Psychology Press, 2002, pp.135-151.
• Shi JQ, Copas J. Publication bias and meta-analysis for 2x2 tables: an average Markov chain Monte Carlo EM algorithm. Journal of the Royal Statistical Society B: Statistical methodology 2002, 64(2), 221-236.
• Copas JB, Shi JQ. A sensitivity analysis for publication bias in systematic reviews. Stat. Meth. in Med. Res 2001, 10, 251-265.
• Lee S-Y, Shi JQ. Maximum Likelihood Estimation of Two-Level Latent Variable Models with Mixed Continuous and Polytomous Data. Biometrics 2001, 57(3), 787-794.
• Lee SY, Shi JQ. Bayesian analysis of structural equation model with fixed covariates. Structure Equation Modeling. 2000, 7, 411-430.
• Lee SY, Shi JQ. Joint Bayesian analysis of factor scores and structural parameters in the factor analysis models. Annals of the Institute of Statistical Mathematics 2000, 52(4), 722-736.
• Shi JQ, Lee SY. Latent variable models with mixed continuous and polytomous data. Journal of the Royal Statistical Society Series B 2000, 62(1), 77-87.
• Copas JB, Shi JQ. Meta-analysis, funnel plots and sensitivity analysis. Biostatistics 2000, 1(3), 247-262.
• Lin NX, Shi JQ, Henderson R. Doubly misspecified models. Biometrika 2012, 99(2), 285-298.
• Shi JQ, Wang B, Will EJ, West RM. Mixed-effects Gaussian process functional regression models with application to dose-response curve prediction. Statistics in Medicine 2012, 31(26), 3165-3177.
• Serradilla J, Shi JQ, Morris AJ. Fault detection based on Gaussian process latent variable models. Chemometrics and Intelligent Laboratory Systems 2011, 109(1), 9-21.
• Yi G, Shi JQ, Choi T. Penalized Gaussian Process Regression and Classification for High-Dimensional Nonlinear Data. Biometrics 2011, 67(4), 1285-1294.