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Naveen Bansal

Professor

Department of Mathematical and Statistical Sciences

Courses 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

Publications

  • Naveen K. Bansal, V.S. Vaidyanathan & P. Chandrasekhar (2023) Bayesian Estimation of Parameters and Measures of Effectiveness in an M|Er|1 Queueing Model, American Journal of Mathematical and Management Sciences, 42:3, 202-215, DOI: 10.1080/01966324.2023.2215388
  • V.S. Vaidyanathan, Naveen K. Bansal, P. Chandrasekhar. Bayesian Inference and UMVU estimation in the single server M|M|1|∞ queue. Journal of the Indian Society for Probability and Statistics, Volume 23, pages 211–226 (2022).
  • Naveen K. Bansal, V.S. Vaidyanathan, P. Chandrasekhar. Bayesian analysis of an M|M|1|∞ queueing model. Pak.J.Stat.Oper.Res. Vol.18, No.1, (2022), pp 85-97. DOI:
  • Derek Kamper, Alexander Barry, Naveen Bansal, Mary Ellen Stoykov, Kristen Triandafilou, Lynn Vidakovic, NaJin Seo, Elliot Roth. Use of cyproheptadine hydrochloride (HCl) to reduce neuromuscular hypertonicity in stroke survivors: A Randomized Trial: Reducing Hypertonicity in Stroke, Journal of Stroke and Cerebrovascular Diseases, Vol 31, October 2022.
  • Madhusudan, Bhandary, Hongying Dai, Naveen K Bansal, and Hyejin Shin. "Bayes Estimation of Autocorrelation Coefficient."" Journal of Statistics and Management Systems, Published online Dec 1, 2021.
  • Naveen K. Bansal, Mehdi Maadooliat, and Soroush Mahmoudiandehkordi. "On Bayes Decision Rule for Testing Multiple Hypotheses with Non-symmetric Alternatives" Journal of Statistical Theory and and Practice, 15, 55 (2021).

Faculty & Staff Directory


CONTACT

Department of Mathematical and Statistical Sciences
Katharine R. Cudahy Hall, Room 340
1313 W. Wisconsin Avenue
Milwaukee WI 53233
(414) 288-7573

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