2 citations · 3 across the 5 of their papers we have counts for
6 papers
Causal Analysis at Extreme Quantiles with Application to London Traffic Flow Data
Prajamitra Bhuyan, Kaushik Jana, Emma J. McCoy
Transport engineers employ various interventions to enhance traffic-network performance. Quantifying the impacts of Cycle Superhighways is complicated due to the non-random assignm…
Nonparametric quantile regression for time series with replicated observations and its application to climate data
Soudeep Deb, Kaushik Jana
This paper proposes a model-free nonparametric estimator of conditional quantile of a time series regression model where the covariate vector is repeated many times for different v…
Scoring Predictions at Extreme Quantiles
Axel Gandy, Kaushik Jana, Almut E. D. Veraart
Prediction of quantiles at extreme tails is of interest in numerous applications. Extreme value modelling provides various competing predictors for this point prediction problem. A…
Space-efficient estimation of empirical tail dependence coefficients for bivariate data streams
Alastair Gregory, Kaushik Jana
This article proposes a space-efficient approximation to empirical tail dependence coefficients of an indefinite bivariate stream of data. The approximation, which has stream-lengt…
Improving linear quantile regression for replicated data
Kaushik Jana, Debasis Sengupta
This paper deals with improvement of linear quantile regression, when there are a few distinct values of the covariates but many replicates. On can improve asymptotic efficiency of…
The Statistical Face of a Region under Monsoon Rainfall in Eastern India
Kaushik Jana, Debasis Sengupta, Subrata Kundu +2
A region under rainfall is a contiguous spatial area receiving positive precipitation at a particular time. The probabilistic behavior of such a region is an issue of interest in m…