Education
- Postdoctoral Research Associate, Duke University, USA.
- Ph.D, Indian Institute of Technology Bombay, India.
- M.Sc, Indian Institute of Technology Kharagpur, India.
- B.Sc, Ramakrishna Mission Vidyamandira, Belur, India.
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Latest Publications
- Bhattacharya, S., Das, I., and Kunnummal, M. (2024). On Modeling Bivariate Lifetime Data in the Presence of Inliers. Annals of Data Science, 12(1), 1–22.
- Sen, S., Das, I., and Ayoob, F. (2023). Doubly-Inflated Poisson INGARCH Models for Count Time Series. Journal of Statistical Theory and Practice, 17(4), 55.
- Thakur, D., Das, I., and 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.
- Thakur, D., Bhattacharya, S., and 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.
- Mathews, J., Bhattacharya, S., Sen, S., and Das, I. (2022). Multiple inflated negative binomial regression for correlated multivariate count data. Dependence Modeling, 10(1), 290–307.
- Thakur, D., and 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.
- Das, I., Sen, S., Chaganty, N. R., and Sengupta, P. (2019). Regression for doubly inflated multivariate Poisson distributions. Journal of Statistical Computation and Simulation, 89(13), 2549–2561.
- Das, I., and Mukhopadhyay, S. (2019). Robust Designs for Multinomial Models. Communications in Statistics – Simulation and Computation, 48(10), 2998–3021.
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