Deb, S. and Jana, K. (2024). Nonparametric quantile regression for time series with replicated observations and its application to climate data. Statistical Science, Vol. 39, Issue 33, 428–44.
Agrawal, K., Pathak, M., Jana, K., Unni, J., Shukla, P. (2024) Just Transition Away from Coal: Vulnerability Analysis of Coal Districts in India, Energy Research & Social Science, Vol-108, February, 103--355
Jana, K., Bhuyan, P., Veraart, A., Gandy, A. and McCoy, E., (2023) Causal Inference at Extreme Tails with Application to London Traffic Flow Data. Journal of the Royal Statistical Society, Series-C, Vol. 72, Issue 5, 1452--1474.
Jana, K., and Chakoo, M., (2023) A Collaborative Pedagogy of Mixed Method Research: An Inclusive Approach in Data Science Education, The Proceedings of the Annual Conference of the International Association for Statistical Education (IASE).
Jana, K. and Sengupta, D. (2022). Improving Linear Quantile Regression for Replicated Data, Statistics, Vol-56, No-6, Pages 1193–120
Gandy, A., Jana, K. and Veraart, A. (2022) Scoring Predictions at Extreme Quantiles, AStA Advances in Statistical Analysis, Vol. 106, 527–544
Jana, K., Basu, L., Jana, K. (2022) ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’. Journal of the Royal Statistical Society: Series A (Statistics in Society) 185(4), 1832–183
Jana, K., Sengupta, D., Kundu, S., Chakraborty, A. and Shaw, P. (2020). The Statistical Face of a Region under Monsoon Rainfall in Eastern India. Journal of the American Statistical Association, Vol. 115, No. 532, 1559--1573.
Mukherjee, S., Chaudhuri, S., Jana, K., Bose, T., Roy, T. (2020) Profile and early prediction of the neuromotor outcome of very low birth weight infants, Asian Journal of Medical Sciences, Vol. 12, No. 10, 51--57
Jana et al (2018) Developing data science tools for improving enterprise cyber-security, The Alan Turing Institute Data Study Report by Imperial College London, Los Alamos National Laboratory, Heilbronn Institute, Report, https://www.turing.ac.uk/research/publications/data-study-group-final-report-imperial-college-london-los-alamos-national.
Gregory, A. and Jana, K. (2019). Space-efficient Estimation of Empirical Tail Dependence Coefficients for Bivariate Data Streams, Statistical Analysis and Data Mining: The American Statistical Association Data Science Journal, 1--17
Jana, K., Sengupta, D. and Rudra, K. (2016). Correction of Bifurcated River Flow Measurements from Historical Data: Paving the Way for Teesta Water Sharing Treaty, the Annals of Applied Statistics, Vol. 10, No. 3, 1757--1775