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Biography

Prof. Siva Sivaganesan

Department of Mathematical Sciences

University of Cincinnati, USA


Email: sivagas@ucmail.uc.edu


Qualifications

1986 Ph.D., Statistics, Purdue University, USA

1979 M.S., Statistics, University of Birmingham, UK

1976 B.S., Mathematics, University of Colombo, Sri Lanka

Publications (Selected)
  1. Sivaganesan, S and Jiang, D. Objective Bayesian testing of Poisson Means, Communications in Statistics—Theory and Methods, 39: 1887–1897, 2010.
  2. Freudenberg JM, Sivaganesan S, Wagner M, Medvedovic M. Semi-parametric Bayesian model for unsupervised differential co-expression analysis identifies novel molecular subtypes. BMC Bioinformatics, 11:234, 2010.
  3. Jiang, D. and Sivaganesan, S. Objective Bayesian Approach to comparing Poisson Means. Journal of Statistical Theory and Practice, Vol. 4, No. 1, pp. 85-110, March 2010.
  4. Sivaganesan, S., Laud, P., Mueller, P. A Bayesian Subgroup Analysis using Zero-inflated Polya-Urn Scheme. To appear in Statistics in Medicine.
  5. Muller, P., Sivaganesan, S. and Laud, P. A Bayes Rule for Subgroup Reporting. In Frontiers Statistical Decision Making and Bayesian Analysis, In Honor of James O. Berger, Eds. Chen, M. et. al. Springer, pp. 277-284, 2010.
  6. Huang, B. Altaye, M., Martin, L., Sivaganesan, S. Assessing Gene-Environment Interaction for Case-Control Study: Without Independence and Rare Disease Assumptions. Proceedings of the American Statistical Association, 2008.
  7. Ding, L. Huang, B, Sivaganesan, S. Bayesian Mixture Modeling for Interval-Censored Age Onset of Puberty. Proceedings of the American Statistical Association, 2008.
  8. Liu X, Jessen W, Sivaganesan S, Aronow BJ, Medvedovic M: Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data. 2007, BMC Bioinformatics, 8(1):283.
  9. Liu, X., Sivaganesan, S., Yeung K.Y., ,Bumgarner R. E., and Medvedovic M. Bayesian context-specific infinite mixture model for clustering of gene expression profiles across diverse Microarray data sets. Bioinformatics, 2006, 22(14):1737-44.
  10. Sartor M., Tomlinson C.R., Wesselkamper S.C., Sivaganesan S., Leikauf G.D., and Medvedovic M. Intensity-based hierarchical Bayes method improves esting for differentially expressed genes in microarrays. 2006, BMC Bioinformatics 7: 538.
  11. Huang, B. and Sivaganesan, S. Bayesian Interval Estimate for Attributable Risk under Cross-Sectional Study Design using Probability Matching Prior. Proceedings of The American Statistical Association, 2006.
  12. Sivaganesan, M and Sivaganesan, S. The Effect of LotVariability and UV Radition on the Inactivation Kinetics of Cryyptosporidium Parvum Ooocysts. Environmental Science and Technology, 2005; 39(11); 4166-4171.

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