Hao Wang   

              

Assistant Professor

Contact

Mail: 219B LeConte College, University of South Carolina, Columbia, SC 29208 USA
Email: haowang AT sc DOT edu
Phone: (803) 777-4348

About me

I received a BS in Mathematical Statistics from Nankai University in May 2006, and a PhD  in Statistical Science from Duke University in May 2010.  My research interests include graphical/factor models, Bayesian time series and statistical disclosure limitation. Outside of school, I spend my time on tennis, pingpong, poker, backpacking, and reading about financial markets.


Working Papers

Hao Wang, 2012, Two New Algorithms for Solving Covariance Graphical Lasso Based on Coordinate Descent and ECM. [html]

Minhua Chen, Hao Wang, Xuejun Liao and Lawrence Carin, Bayesian Learning of Sparse Gaussian Graphical Models. [pdf]

H. Wang and Natesh S. Pillai, 2011, On a Class of Shrinkage Priors for Covariance Matrix Estimation. [html]

H. Wang, 2011, The Bayesian Graphical Lasso and Efficient Posterior Computation.  [html]

H. Wang, 2010, Bayesian Analysis of Gaussian Graphical Models for Correlated Sample. [html]


Published Papers

H. Wang and Sophia Zhengzi Li, 2012, Efficient Gaussian Graphical Model Determination under G-Wishart Prior Distributions. Electronic Journal of Statistics 6 (2012):168-198 [html]

H. Wang and Jerry Reiter, Multiple Imputation for Sharing Precise Geographies in Public Use Data. Annals of Applied Statistics (to appear) [html]

H. Wang, C. Reeson and C. M. Carvalho, Dynamic Financial Index Models: Modeling Conditional Dependencies via Graphs. Bayesian Analysis 6 (2011): 639-664[html]

H. Wang and C. M. Carvalho, Simulation of Hyper-Inverse Wishart Distributions for Non-decomposable Graphs. Electronic Journal of Statistics 4 (2010):1467-1470 [html]

H. Wang, Sparse Seemingly Unrelated Regression Modelling: Applications in Econometrics and Finance. Computational Statistics and Data Analysis 54 (2010): 2866-2877[html]

H. Wang and M. West, Bayesian analysis of matrix normal graphical models. Biometrika 96 (2009):821-834 [html]


Teaching

        

         Stat 110  Introduction to Statistical Reasoning (Spring 2012).

         Stat 509  Statistics for Engineers (Fall 2011).

         Stat 720  Time Series Analysis (Spring 2011).

         Stat 509  Statistics for Engineers (Fall 2010).