Kaushik Jana, PhD
I am a statistician and interested in data of all kinds. My research interests centred around are development and application of statistical methods to the problems that have direct relevance to practical issues.
Some of my methodological research areas are Functional Data Analysis, Extreme Values Analysis, and Streaming Data Analytics. This methodological research is applicable in but not limited to the areas of climatology, extreme event prediction, policymaking, public health and cyber streaming data analytics.
RESEARCH AND PUBLICATION
CLIMATOLOGICAL FUNCTIONAL DATA
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.
Jana, K. and Sengupta, D. (2017). Improving Linear Quantile Regression for Replicated Data, (revision submitted), Link to Preprint.
EXTREME VALUE AND HEAVY TAILED DATA MODELLING
Gandy, A., Jana, K. and Veraart, A. (2020) Scoring Predictions at Extreme Quantiles. Under revision.
Jana, K., Bhuyan, P., Veraart, A., Gandy, A and McCoy, E (2021+) Causal Inference at Extreme Tails with Application to London Traffic Flow Data
STATISTICS FOR POLICY
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, Annals of Applied Statistics, Vol. 10, No. 3, 1757--1775
Biswas, A. and Jana, K. 'Tussle over Teesta' newspaper article published in The Statesman (22 November 2019).[
Biswas, A. and Jana, K. 'On issue of Teesta river's water sharing', published in a daily bengali newspaper, Uttar Banga Sambad on (25 May 2017).
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, Report: Department of Neonatology, IPGMER, SSKM Hospital
Puhan, S., Chaudhuri, S., Jana, K. (2021+) A prospective observational study on the role of Thompson score in predicting neuromotor outcome in a tertiary care pediatric hospital (ongoing project)
Pradhan, A, Chaudhuri, S., Jana, K. (2021+)Perfusion Index as an early predictor of shock in sick newborn of less than 72 hrs age and its correlation with Superior Venacaval flow in a tertiary care pediatric hospital (ongoing project)
STREAMING DATA ANALYSIS
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, available from
Gregory, A. and Jana, K. (2019). Space-efficient Estimation of Empirical Tail Dependence Coefficients for Bivariate Data Streams, Statistical Analysis and Data Mining: The ASA Data Sci Journal, 1--17