Satya Prakash Singh

I am an assistant professor in the Department of Mathematics and Statistics, IIT Kanpur. I joined IIT Kanpur in October 2021. Prior to joining IIT Kanpur, I worked as an Assistant Professor in the Department of Mathematics IIT Hyderabad. I completed my Ph.D. in 2016 from the Department of Mathematics, IIT Bombay. I was a postdoc fellow at the Department of Statistics, University of Haifa, Israel.

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


    Contact:

    Faculty Building 589
    Department of Mathematics and Statistics, IIT Kanpur
    Kanpur, Kalyanpur- 208016
    Email: singhsp@iitk.ac.in
    Phone: 0512-259-2254

Publications/Preprints

  1. S. P. Singh and S. Pain   "On optimal stepped wedge designs with unequal cluster sizes”, (In progress).

  2. A. Singh and S. P. Singh   "On power optimal designs for pairwise multiple comparisons of the proportions”, (In progress).

  3. S. P. Singh, D. P. Singh and O. Davidov   "On max–min designs for multiple comparisons for Binary outcomes", (In progress).

  4. A. Singh and S. P. Singh   "On power optimal designs for multiple treatment comparisons", (Submitted).

  5. S. P. Singh and D. Prajapati   "Bayesian crossover design for binary responses using Copula", Accepted in Computational Statistics, 2024.

  6. A. Singh, S. P. Singh, and O. Davidov   "Optimal designs for testing pairwise differences: a game theoretic approach", Scandinavian Journal of Statistics, 2024 DOI: https://doi.org/10.1111/sjos.12757.

  7. S. P. Singh   "Bayesian optimal stepped wedge design", Biometrical Journal, 2023, DOI: https://doi.org/10.1002/bimj.202300168.

  8. B. P. M. Duarte, S. P. Singh and M. J. C. Moura   "Optimal design of multivariate acceptance sampling plans by variables", Journal of Statistical Computation and Simulation, 2022.

  9. 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", Statistical Papers, 2022.

  10. A. Singh, S. P. Singh and M. Pal   "Some design considerations for cluster randomized trials with binary responses", Communications in Statistics-Theory and Methods, 2021.

  11. S. P. Singh, S. Mukhopadhyay and H. Raj,   "Min–Max crossover designs for two treatments binary and Poisson crossover trials", Statistics and Computing, 2021.

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

  13. 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).

  14. 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).

  15. 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.

  16. 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.

  17. 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.

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

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

  20. 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

  21. 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

  • MTH689A: Linear and Non-linear Models

Grants

  • Startup Research Grant from Science and Engineering Research Board India, 2022

  • MATRICS Grant from Science and Engineering Research Board India, 2022

  • Initiation Grant IIT Kanpur