Statistics Research Group

Ming-Ying Leung
Leung, Ming-Ying
Professor
Bell Hall 225
915-747-6836
mleung@utep.edu
Faculty profile
Personal webpage
Research Field: Probabilistic Modeling, Statistical Bioinformatics.
Panagis Moschopoulos
Moschopoulos, Panagis
Professor
Bell Hall 224
915-747-6764
pmoschopoulos@utep.edu
Faculty profile
Personal webpage
Research Field: Statistical Inference, Linear Models, Multivariate Analysis, Bivariate Distributions, Geometric Probability.
Ori Rosen
Rosen, Ori
Associate Professor
Bell Hall 221
915-747-6843
ori@math.utep.edu
Faculty profile
Personal webpage
Research Field: Bayesian Computational Methods, Ecological Inference, Time Series, Functional Data Analysis.
Naijun Sha
Sha, Naijun
Associate Professor
Bell Hall 203
915-747-6844
nsha@utep.edu
Faculty profile
Personal webpage
Research Field: Classification and Clustering, Variable Selection Technique, Bayesian Approaches, Bioinformatics.
Joan Staniswalis
Staniswalis, Joan
Professor
Bell Hall 227
915-747-6761
joan@math.utep.edu
Faculty profile
Personal webpage
Research Field: Nonparametric Regression, Biostatistics, Mathematical Statistics, Robust Statistics and Distribution-Free Methods.
Amy Wagler
Wagler, Amy
Assistant Professor
Bell Hall 311
915-747-6847
awagler2@utep.edu
Faculty profile
Research Field: Simultaneous Inference, Categorical Data Analysis.

Principal Differential Analysis with Covariates for Functional Data - Funded by grant NIH-336K, from July 1, 2010 to June 30, 2013. The grant PI is Dr. Joan Staniswalis.

Flexible Statistical Methods for the Analysis of Correlated Multivariate Data. - Funded by a NSF DMS grant, from August 2008 to July 2011. The grant's PI is Dr. Ori Rosen.

UBM Institutional: Undergraduate Training in Bioinformatics - Funded by NSF Interdisciplinary Training for Undergraduates in Biological and Mathematical Sciences (UBM) program, from September 2009 to August 2014 (DUE 0926721). The grant's PI is Dr. Ming-Ying Leung.

Mathematical Models for RNA - Funded by NSF DMS 0800272, from June 2008 to May 2012. The grant's PI is Dr. Ming-Ying Leung.

Probabilistic Models for Inversions in Viral RNA Sequences - Funded by Texas Higher Education Coordinating Board Advanced Research Program (Grant #003661-0013-2007), from May 2008 to January 2011. The grant's PI is Dr. Ming-Ying Leung.

Computational Prediction of RNA Viral Genome Structures - Funded by NIH Support for Continuous Research Excellence (SCORE) program (Grant #2S06-GM00812-37), from September 2007 to August 2011. Dr. Ming-Ying Leung is the Subproject PI.

  • Grineski, S.E., Staniswalis, J.G., Peng, Y., Atkinson-Palombo, Carol (2010). Children's asthma hospitalizations and relative risk due to nitrogen dioxide (NO2): Effect modification by race, ethnicity, and insurance status. Environmental Research, 110 (2), 178-188.
  • Jeong, J., Vannucci, M., Do, K.A., Broom, B., Kim, S., Sha, N., Tadesse, M., Yan, K. and Pusztai, L. (2010). Gene selection for the identification of biomarkers in high-throughput data. In Bayesian Modeling in Bioinformatics, D. K. Dey, S. Ghosh and B. Mallick (Eds). Chapman and Hall/CRC, 233-254.
  • Moschopoulos, P.G., Sphak, Max (2010). The distribution of family sizes under a time-homogeneous birth and death process. Communications in Statistics, Theory and Methods, 39: 1-15.
  • A. Wagler. Bias reduction in logistic dose response models. Journal of Biopharmaceutical Statistics, in press, 2010.
  • Rodriguez, M. I., Sha, N., Rodriguez, M., Quinonez, E. and Valles, D. (2009). Novel accelerated life testing approach for knock sensors. Proceedings of IIE Industrial Engineering Research Conference.
  • R. Cruz-Cano and M.Y. Leung. Comparison of feature selection techniques for viral dna replication origin prediction. Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, March, 2009, Nashville, Tennessee, USA, pages 128–134, 2009.
  • M. Taufer, A. Licon, R. Araiza, D. Mireles, A. Gultyaev, F.H.D. Van Batenburg, and M.-Y. Leung. Pseudobase++: An extension of pseudobase for easy searching, formatting,and visualization of pseudoknots. Nucleic Acids Research, 37:D127– 135, 2009.
  • R. Cruz-Cano, D.S.H. Chew, K.P. Choi, and M.Y. Leung. Least-squares support vector machine approach to viral replication origin prediction. INFORMS J. Computing, To appear, 2009.
  • P.G. Moschopoulos and Max Shpak. Taxon size distribution in a time-homogeneous birth and death process. Communications in Statistics, Theory and Methods (to appear), 2009.
  • O. Rosen, D. Stoffer, and S.Wood. Local spectral analysis via a bayesian mixture of smoothing splines. Journal of the American Statistical Association, 104:249–262, 2009.
  • O. Rosen and W.K. Thompson. A bayesian regression model for multivariate functional data. Journal of Computational Statistics and Data Analysis, 53:3773–3786, 2009.
  • J.G. Staniswalis, H. Yang, W. W. Li, and K. Kelly. Using a continuous time lag to determine the associations between ambient hourly pm2.5 levels and daily mortality. Journal of Air and Waste Management Association, 59:1173–1185, 2009.
  • D.S.H. Chew, K.P. Choi, and M.Y. Leung. Stochastic approaches to predict replication origins in dna viral genomes. In Proceedings of the 2008 International Workshop for Applied Probability, July 2008, Compiegne, France., 2008.
  • D. Grosu, A.T. Chronopoulos, and M.Y. Leung. Cooperative load balancing in distributed systems. concurrency and computation. Practice and Experience, 20:1953–1976, 2008.
  • M. Taufer, M.Y. Leung, T. Solorio, A. Licon, D. Mireles, and K.L. Johnson. Rnavlab: A virtual laboratory for studying rna secondary structures based on grid computing technology. Parallel Computing, 34:661–680, 2008.
  • M. Taufer, T. Solorio, A. Licon, D. Mireles, and M.Y. Leung. On the effectiveness of rebuilding rna secondary structures from sequence chunks. In Proceedings of the Seventh IEEE International Workshop on High Performance Computational Biology (HiCOMB’08), April 2008, Miami, Florida, USA., 2008.
  • D. Grosu, A.T. Chronopoulos, and M.Y. Leung. Load balancing in distributed systems: An approach using cooperative games. Proceedings of the 16th IEEE International Parallel and Distributed Processing Symposium, Fort Lauderdale, Florida, USA, IEEE Computer Science Press, pages 52–61, 2008.
  • W. Thompson and O. Rosen. A bayesian model for sparse functional data. Biometrics, 64:54–63, 2008.
  • G. King, O. Rosen, M.A. Tanner, and A. Wagner. The ordinary election of adolf hitler: A modern voting behavior approach. Journal of Economic History, 68:951– 996, 2008.
  • O. Rosen and D. Stoffer. Automatic local spectral envelope. In Functional and Operatorial Statistics, pages 263–272, Heidelberg, 2008. Physica-Verlag/Springer, Contributions to Statistics.
  • Joan G. Staniswalis. Incorporating marginal covariate information in a nonparametric regression model for a sample of rxc tables. Biometrics, 64(4):1054–1061, 2008.
Page last modified: 27 Jun 2011, 02:06 PM