Professor
Office: Katharine Reed Cudahy Hall,
Room 316
Phone: (414) 288-5290
E-mail: naveen.bansal@marquette.edu
Homepage
Classes typically taught:
- Statistical Methods
- Multivariate Statistical Analysis
- Probability and Statistics
- Time Series Analysis
- Biostatistical Method
Research interests:
- Linear Hypothesis in Errors in Variables Model
- Ranking and Selection
- Bayesian Statistics
- Multiple Hypotheses Testing
- Gene Expression Data Analysis
Selected publications:
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N. K. Bansal, M. Maadooliat and S. J. Schrodi, "Empirical Bayesian approach to testing multiple hypotheses with separate priors for left and right alternatives", Statistical Applications in Genetics and Molecular Biology, Accepted, (2018)
- N. K. Bansal, "Hypothesis Testing for High-Dimensional Problems", Bayesian Inference, IntechOpen, (2017)
- M. Maadooliat, N. K. Bansal, J. Upadhya, M. R. Farazi, Z. Ye, X. Li, and S. J. Schrodi, "The decay of disease association with declining linkage disequilibrium: A fine mapping theorem", Frontiers in Genetics: Statistical Genetics and Methodology, Vol. 7, A217, (2016) (PubMed ID: 28018425)
- N. K. Bansal, G. G. Hamedani and M. Maadooliat, "Testing multiple hypotheses with skewed alternatives", Biometrics, Vol. 72, No. 2, 494-502, (2016)
- N. K. Bansal, H. Jiang, and P. Pradeep. A Bayesian methodology for detecting targeted genes under two related experiments. Statistics in Medicine 34.25 (2015): 3362–3375.
- N. K. Bansal and K. J. Miescke. A Bayesian decision theoretic approach to directional multiple hypotheses problems. Journal of Multivariate Analysis, 120. (2013): 205-215.
Summer Research Experience
