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Variational Bayesian inference for partially observed stochastic dynamical systems. International Workshop on Statistical-Mechanical Informatics. 143(01). 2009.
Variational Bayes estimation of mixing coefficients. Deterministic and Statistical Methods in Machine Learning. :281-295.. 2005.
A type of optimal control problem of portfolio and consumption in security market. Proceedings of Chinese Control Conference. :859-862.. 1996.
Singular control of stochastic linear systems with recursive utility. Systems & Control Letters. 51:105-122.. 2004.
Re: A randomized controlled trial comparing fresh, dried and dried-then-rehydrated temporalis fascia in myringoplasty. Clinical Otolaryngology. 33:496-497.. 2008.
Optimization of consumption and investment strategy under typical utility index. Journal of Shandong Institute of Mining and Technology. 18:99-101.. 1999.
Lack of consistency of mean field and variational Bayes approximations for state space models. Neural Processing Letters. 20:151-170.. 2004.
Infinite time interval BSDEs and the convergence of g-martingales. Journal of The Australian Mathematical Society (Series A). 69:187-211.. 2000.
Inadequacy of interval estimates corresponding to variational Bayesian approximations. Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics. :373-380.. 2005.
A Gaussian process regression approach to single-index model. Journal of Nonparametric Statistics. 23(1). 2011.
Gaussian Process Functional Regression Modelling for Batch Data. Biometrics. 63:714-723.. 2007.
Curve Prediction and Clustering with Mixtures of Gaussian Process Functional Regression Models. Statistics and Computing. 18:267-283.. 2008.
Convergence properties of a general algorithm for calculating variational Bayesian estimates for a normal mixture model. Bayesian Analysis. 1:625-650.. 2006.
The convergence of singularly perturbed diffusion with 1-dimensional reflecting boundary. Journal of Shandong University. 35:14-20.. 2000.
Convergence and asymptotic normality of variational Bayesian approximations for exponential family models with missing values. Proceedings of the twentieth conference on Uncertainty in Artificial Intelligence. :577-584.. 2004.
Bayesian variable selection for Gaussian process regression: application to chemometric calibration of spectrometers. Neurocomputing. 73:2718-2726.. 2010.
Asymptotic Normality in Partially Observed Diffusions with Small Noise: Application to FDI. Stochastic Theory and Control. :267-282.. 2002.
Department of Mathematics, University of York, Heslington, York, UK. YO10 5DD