Nila, S., Das, I., & Balakrishna, N. (2025). Modeling extreme events in the presence of inliers: a mixture approach. Journal of Applied Statistics, 1-33. (👉 Read the paper)
Bhattacharya, S., Das, I., & Kunnummal, M. (2024). On Modeling Bivariate Lifetime Data in the Presence of Inliers. Annals of Data Science, 12(1), 1–22. (👉 Read the paper)
Sen, S., Das, I., & Ayoob, F. (2023). Doubly‑Inflated Poisson INGARCH Models for Count Time Series. Journal of Statistical Theory and Practice, 17(4), 55. (👉 Read the paper)
Thakur, D., Das, I., & Chakravarty, S. (2023). A spatial copula interpolation in a random field with application in air pollution data. Modeling Earth Systems and Environment, 9(1), 175–194. (👉 Read the paper)
Thakur, D., Bhattacharya, S., & Das, I. (2022). Uni‑variate and bi‑variate Inverted Exponential Teissier distribution in Bayesian and non‑Bayesian framework to model stochastic dynamic variation of climate data. Theoretical and Applied Climatology, 150, 1707–1729. (👉 Read the paper)
Mathews, J., Bhattacharya, S., Sen, S., & Das, I. (2022). Multiple inflated negative binomial regression for correlated multivariate count data. Dependence Modeling, 10(1), 290–307. (👉 Read the paper)
Thakur, D., & Das, I. (2022). Statistical assessment of spatio‑temporal impact of Covid‑19 lockdown on air pollution using different modelling approaches in India, 2019–2020. Regional Statistics, 12(3), 54–84. (👉 Read the paper)
Das, I., Sen, S., Chaganty, N. R., & Sengupta, P. (2019). Regression for doubly inflated multivariate Poisson distributions. Journal of Statistical Computation and Simulation, 89(13), 2549–2561. (👉 Read the paper)
Das, I., & Mukhopadhyay, S. (2019). Robust Designs for Multinomial Models. Communications in Statistics – Simulation and Computation, 48(10), 2998–3021. (👉 Read the paper)
Das, I. (2018). Robust Benchmark Dose Estimation using an Infinite Family of Response Functions. Human and Ecological Risk Assessment, 24(8), 2054–2069. (👉 Read the paper)
Das, I., Mukhopadhyay, S., & Aggarwal, M. (2015). Robust Designs in Generalized Linear Models: A Quantile Dispersion Graphs Approach. Communications in Statistics – Simulation and Computation, 44(9), 2348–2370. (👉 Read the paper)
Das, I., & Mukhopadhyay, S. (2014). On Generalized Multinomial Models and Joint Percentile Estimation. Journal of Statistical Planning and Inference, 145, 190–203. (👉 Read the paper)
Das, I., Mukhopadhyay, S., & Xu, H. (2013). Individualized Dosing for Multiple Ordered Groups of Patients. Journal of Statistical Theory and Practice, 7, 95–106. (👉 Read the paper)
Mukhopadhyay, S., Das, I., & Das, K. (2012). Selection of a Stroke Risk Model Based on Transcranial Doppler Ultrasound Velocity. Journal of Applied Statistics, 39, 2699–2712. (👉 Read the paper)