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.