PUBLICATIONS

 

Journal Papers

 

  [19] Qu, W., He, W., Wang, X., Lazarus, R. (2008).  A Marginal Mixture Model for Selecting Differentially Expressed Genes Across Two Types of Tissue Samples. The International Journal of Biostatistics. Accepted.   

 

  [18]  Fu, Y., Wang, X. and Wu, C. (2008). Weighted Empirical Likelihood Inference. Journal of Statistical Planning and Inference. Accepted.

 

  [17]  Andreopoulos, B., An, A., Wang, X., Faloutsos, M and Schroeder, M. (2007). Clustering by Common Friends Finds Locally Significant Proteins Mediating Modules. Bioinformatics. To appear.

 

  [16]  Yang, Z., Wang, X. and Sun, D. (2007) Using Bootstrap Method to Detect Influential DMU's in Data Envelopment. The Annals of Operational Research.  Under revision.

 

   [15] Wang, X., Liang, D, Feng, X. and Ye, L. (2006). A Derivative Free Optimization Algorithm based on Conditional Moments. Journal of Mathematical Analysis and Applications. To appear.

 

 [14] Wang, X., Qiu, W. and Zamar, R. (2006). An Iterative Non-parametric Clustering Algorithm Based on Local Shrinking. Computational Statistics and Data Analysis. To appear.

 

 [13] Andreopoulos, B., An, A., Tzerpos, V. and Wang, X. (2006) Clustering Large Software Systems at Multiple Layers, Information and Software Technology (IST), Elsevier. To appear.

 

 [12] Andreopoulos, B, An, A, Huang, X. and Wang, X. (2006). Finding Molecular Complexes through Multiple Layer Clustering of Protein Interaction Networks. International Journal of Bioinformatics Research and Applications. To appear.

 

 [11] Zhang, P., Wang, X. and Song, P.X. (2006) Clustering Categorical Data Based on Distance Vectors.  The Journal of the American Statistical Association. Vol. 101. No. 473, 355-367.

 

  [10]  Wang, X. (2006). Approximating Bayesian Inference by Weighted Likelihood Method. The Canadian Journal of Statistics. Vol. 34,  279-298.

 

  [9] Wang, X. (2006). Asymptotic Properties of Adaptive Likelihood Weights by Cross-validation. Communications in Statistics: Theory and Method. Vol. 35, 1257-1272.

 

  [8] Andreopoulos, B, An, A. and Wang, X. (2006). BILCOM: Bi-level Clustering of Mixed Categorical and Numerical Biological Data.  International Journal of Data Mining and Bioinformatics. Vol.1, No.1, 19-56.

  [7] van Alest, S., Wang, X., Zamar, R.H. and Zhu,R. (2006). Grouping Linear Patterns Using Orthogonal Regression. Computational Statistics and Data Analysis. Vol. 50, No. 5, 1287-1312.

 

  [6] Wang, X. and Zidek, J.V. (2005). Derivation of Mixture Distribution and Weighted Likelihood as minimizers of KL-divergence subject to constraints. The Annals of the Institute of Statistical Mathematics.  Vol 57, 687-701.

   [5] Andreopoulos, B, An, A and Wang, X. (2005). Clustering the Internet Topology at Multiple Layers. WSEAS Transactions on Information Science and Applications, 2, 1625-1634.

  [4] Wang, X. and Zidek, J.V. (2005). Selecting likelihood weights by cross-validation. The Annals of Statistics. Vol., 33. No. 2, 463-500.

  [3] Wang, X., van Eeden, C. and Zidek, J.V. (2004). Asymptotic Properties of Weighted Likelihood Estimators.Journal of Statistical Planning and Inference. Vol 119, pp. 37-54.

  [2] Zidek, J.V. and Wang, X. (2000). Discussion of ``The Estimating Function Bootstrap''. The Canadian Journal of Statistics, 28, 482-485.

  [1] Lu, D., Wei, C., Xin, M, Fen, S. and Wang, X. (1993). A Universal Regressive Relationship for Ground-Based Microwave Remote Sensing of Atmospheric Water Vapour. Scientia Atmospherica Sinica, Vol 17, 721-731.

 

 

     Refereed Conference Papers

      

        [1] Andreopoulos, A., Andreopoulos, B., An, A. and Wang, X. Translation and Rotation Invariant Mining of Frequent Trajectories: Application to Protein Unfolding Pathways. The 2nd BioDM Workshop on Data Mining for Biomedical Applications (BioDM 2007),  Nanjin, China, May, 2007.

 

        [2] Andreopoulos, B., An, A. and Wang, X. Hierarchical Density-based Clustering of Categorical Data and Simplication.PAKDD, Nanjin, China, May, 2007.

 

          [3] Andreopoulos, B., An, A., Tzerpos, V. and Wang, X. Multiple Layer Clustering of Large Software Systems, Proceedings of the Working Conference on Reverse Engineeering (WCRE 2005), Pittsburgh, Pennsylvania, 2005.

 

       [4] Andreopoulos, B., An, A. and Wang, X., Clustering Mixed Numerical and Low Quality Categorical Data: Significance Metrics on a Yeast Example, Proceedings of the Second International ACM SIGMOD Workshop on Information Quality in Information Systems (IQIS 2005), Baltimore, MD, June 2005.

        

 

     Technical Reports

 

       [1] Huang, W, Wang, X. and Wu, J. (2004) .Categorical Data Analysis with Applications to Data Mining and Bioinformatics. IBM CASCON Technical Report 74.193-40.

 

        [2] Heckman, N., White, R., Wang, X. and Wong, H. (1999). Maclean's Ranking of Canadian Universities. Technical Report 189, Department of Statistics, University of British Columbia.