Journals articles

  1. Ahmad, I., Ahmad, T., Shafiq, U.R. (2023). A detailed study on quantification and modelling of drought characteristics using different copula families. Heliyon: Mathematics (To be appeared).
  2. Ahmad, I., Ahmad, T., Shahzad, U., Ameer, M. A., Emam, W., Tashkandy, Y., & Badar, Z. (2024). Estimation of regional and at-site quantiles of extreme winds under flood index procedure. Heliyon10(1).[link]
  3. Ahmad, T., Ahmad, I., Arshad, I. A., & Almanjahie, I. M. (2022). An efficient Bayesian modelling of extreme winds in the favor of energy generation. Energy Reports 9(1), 2980–2992.[link]
  4. Ahmad, T., Ahmad, I., Arshad, I. A., & Bianco, N. (2021). A comprehensive study on the Bayesian modelling of extreme rainfall: a case study from Pakistan. International Journal of Climatology. 42(1), 208–224. [link]
  5. Noor, F., Masood, S., Sabar, Y., Shah, S. B. H., Ahmad, T., Abdollahi, A., & Sajid, A. (2021). Bayesian analysis of cancer data using a 4-component exponential mixture model. Computational and Mathematical Methods in Medicine 2021. [link]
  6. Cheema, A. R., Firdous, S., Ahmad, T., & Imran, M. (2021). Family planning and fertility reduction in Pakistan. Ilkogretim Online, 20(5), 3617–3627. [link]
  7. Ahmad, I., Ahmad, T., & Almanjahie, I. M. (2019). Modelling of extreme rainfall in Punjab, Pakistan using Bayesian and frequentist approach. Applied Ecology and Environmental Research 17(6), 13729-13748. [link]

Articles submitted to Journals

  1. Ahmad, T., Gaetan, C., & Naveau P., (2023). A regression model for count data with extreme observations. Statistical Modelling: An International Journal (Under review)
  2. Hassan T.,  Ahmad, T., (2023).Mixture Designs Construction through Projected Definitive Screening Designs. Kuwait Journal of Science (Under Review)

Preprints

  1. Ahmad, T., Gaetan, C., & Naveau P., (2022). Modeling of discrete extreme through extended generalized Pareto distribution.[arxiv][code]

Working Papers

  1. Ahmad, T., Gaetan, C., (2023). Bivariate dependent modelling of discrete avalanches extremes.
  2. Ahmad, T., Gaetan, C., (2023). A latent process model for discrete temporal extremes. Ready for submission.
  3. Ahmad, T., Shafiq, U.R. (2023). Modeling of heavy floods through robust distributional regression.
  4. Ahmad, T., Portier, F and Stupfler, G. (2023). Dimension reduction for extreme value analysis.
  5. Ahmad, T (2023). Modeling the entire range of extreme observations.

Presentations

  1. Ahmad, T. . Modeling of bivariate discrete dependent extremes. 2nd International Conference of Sciences on “Revamped Scientific Outlook of 21st Century, Rawalpindi Women University  6th  Road  Satellite  Town  Rawalpindi, Pakistan. Date 15 November 2023.
  2. Ahmad, T., & Gaetan, C., (2023). A latent process model for discrete extremes. 13th International Conference of Extreme Value Analysis 2023 (EVA2023), Bocconi University, Milan, Italy. Date 26- 30 June 2023.
  3. Ahmad, T., Gaetan, C., & Naveau P., (2022). Modelling of discrete extremes through extended versions of discrete generalized Pareto distribution. 15th International Conference of the ERCIM Working Group on Computational and Methodological Statistics (CMStatistics) King’s College London, UK. Date: 17-19 December 2022.
  4. Ahmad, T., (2022). Modelling the entire range of discrete extreme data. International Conference on Recent Trends in Statistics & Data Analytics, National University of Science and Technology, Islamabad. Date: 23 September 2022.
  5. Ahmad, T., (2022). Some new versions of discrete extreme models. (Invited speaker) Laboratoire de Math´ematiques de Versailles, Versailles, France. Date: 19 April 2022.
  6. Ahmad, T., (2022). Some new versions of discrete extreme models. (Yearly) Department of Statistical Sciences University of Padova, Italy. Date: 17 February 2022.