Satya Prakash Singh

I am an assistant professor in the Department of Mathematics, IIT Hyderabad. I joined IIT Hyderabad in February 2019. Prior to joining IIT Hyderabad, I was a postdoctoral fellow at the Department of Statistics, University of Haifa, Israel. I completed my Ph.D. in 2016 from the Department of Mathematics, IIT Bombay.

I work in the field of optimal design of experiments related to cross-over trials, cluster randomised trails, longitudinal studies, and the ordered experiemnts.


    Contact:

    Academic Block C, Office no. 312-G
    Department of Mathematics, IIT Hyderabad
    Kandi, Sangareddy- 502285
    Email: spsingh@iith.ac.in

Publications/Preprints

  1. S. P. Singh, O. Davidov and A. Singh   "Optimal designs for testing pairwise differences: a graph based approach", (In progress).

  2. A. Singh, S. P. Singh and S. Pal   "Optimal allocation of subjects in a mathced pair cluster-ranodmized trial with varying sampling cost", (In progress).

  3. B. P. M. Duarte, S. P. Singh and M. J. C. Moura   "Optimal design of multivariate acceptance sampling plans by variables", (In progress).

  4. B. P. M. Duarte, A. C. Atkinson, S. P. Singh and M. S. Reis   "Optimal design of experiments for hypothesis testing on ordered treatments via intersection-union test", (Under review).

  5. A. Singh, S. P. Singh and M. Pal   "On cluster randomized designs for binary rsponses", (Under revision).

  6. S. P. Singh, S. Mukhopadhyay and H. Raj,   "Min–Max crossover designs for two treatments binary and Poisson crossover trials", (To be appear in Statistics and Computing, 2021).

  7. S. P. Singh and O. Davidov,   "On efficient exact experimental designs for ordered treatments", Computational Statistics and Data Analysis, 164, 107305, 2021.

  8. S. Mukhopadhyay, S. P. Singh and A. Singh,   "Locally optimal binary crossover designs", Statistics and Applications ISSN 2454-7395(online), 19(1), 95-106, 2021 (Invited paper).

  9. S. P. Singh, S. D. Peddada, and O. Davidov,   "A cost effective approach to the design and analysis of multi–group experiments", Statistics and Applications ISSN 2454-7395(online), 19(1), 223-246, 2021 (Invited paper).

  10. S. P. Singh and Pradeep Yadav,   Optimal allocation of subjects in a cluster randomized trial with fixed number of clusters when the ICCs or costs are heterogeneous over clusters, Journal of Applied Statistics, 48(9), 1527-1540, 2021.

  11. S. P. Singh and O. Davidov,   "On Bayes and Nash experimental designs for hypothesis testing problems", Electronic Journal of Statistics, 14(2), 3976-4003, 2020.

  12. S. P. Singh and O. Davidov,   "On the design of experiments with ordered experimental treatments", Journal of Royal Statistical Society: Series B, 81(5), 881-900, 2019.

  13. S. P. Singh and S. Mukhopadhyay,   "Bayesian Crossover Designs for Generalized Linear Models", Computational Statistics and Data Analysis, 104, 35-50, 2016.

  14. S. Mukhopadhyay and S. P. Singh,   "D­-optimal Multinomial Designs", Book chapter, "Statistical and Mathematical Sciences and their Applications", Chapter 4, Narosa Publication, 2016.

  15. S. P. Singh, S. Mukhopadhyay and A. Roy,   "Comparison of three level cluster randomized trials using quantile dispersion graphs", Journal of Applied Statistics, 42(8), 1792-1812, 2015

  16. S. P. Singh and S. Mukhopadhyay,   "Bayesian optimal cluster designs", Statistical Methodology, 32, 36-52, 2016.

Teaching

  • Regression Analysis

  • Time Series Analysis

  • Statistical Analysis using R