- Associate Professor
- Paul H. Chook Department of Information Systems and Statistics
- (646) 312-3365
Professor Yu has been at Baruch College, The City University of New York, since 2008 and is an Associate Professor in Statistics. His statistical training began at Shanghai University of Finance and Economics, where he obtained a BS in Statistics in 2003. He was born and grew up in Hefei, Anhui, China.
His research has been focusing on Bayesian hierarchical modeling, spatial smoothing techniques, functional neuroimaging data analysis, and quantile regression.
Yue and Wang (2016). “Bayesian Inference for Generalized Linear Mixed Models with Predictors Subject to Detection Limits: An Approach that Leverages Information from Auxiliary Variables.” Statistics in Medicine, 35, 1689-1705.
Yue and Loh (2015). “Variable Selection for Inhomogeneous Spatial Point Process Models.” The Canadian Journal of Statistics, 43(2), 288-305.
Hong, Yue and Gosh (2015). “Bayesian Estimation of Long-Term Health Consequences of Obese and Normal-Weight Elderly.” Journal of the Royal Statistical Society: Series A (Statistics in Society), 178(3), 725-739.
Yue, Simpson, Lindgren and Rue (2014). “Bayesian Adaptive Smoothing Spline using Stochastic Differential Equations.” Bayesian Analysis, 9(2), 397-424.
Yue, Lindquist and Loh (2012). “Meta-analysis of Functional Neuroimaging Data using Bayesian Nonparametric Binary Regression.” The Annals of Applied Statistics, 6(2), 697- 718.
Yue, Speckman and Sun (2012). “Priors for Bayesian Adaptive Spline Smoothing.” Annals of the Institute of Statistical Mathematics, 64(3), 577-613.
Yue and Loh (2011). “Bayesian Semiparametric Intensity Estimation for Inhomogeneous Spatial Point Processes.” Biometrics, 67, 937-946.
Yue and Hong (2012). “Bayesian Tobit Quantile Regression Model for Medical Expenditure Panel Survey Data.” Statistical Modeling, 12(4), 323-346.
Yue and Rue (2011). “Bayesian Inference for Additive Mixed Quantile Regression Models.”Computational Statistics and Data Analysis, 55, 84-96.
Yue and Speckman (2010). “Nonstationary Spatial Gaussian Markov Random Fields.” Journal of Computational and Graphical Statistics, 19(1), 96-116.
Eugene M. Lang Junior Faculty Fellowship, 2012-2013.
Teaching Excellence Award, Zicklin School of Business, Baruch College, 2011.
Faculty Scholarship and Creative Achievement, Baruch College, 2010-2012.
PSC-CUNY Research Awards, The City University of New York.
G. Ellsworth Huggins Fellowship, University of Missouri, 2003-2008.