2 papers
stat.ME2024
Scalable Resampling in Massive Generalized Linear Models via Subsampled Residual Bootstrap
Indrila Ganguly, Srijan Sengupta, Sujit Ghosh
Residual bootstrap is a classical method for statistical inference in regression settings. With massive data sets becoming increasingly common, there is a demand for computationall…
stat.ME2024
Distributional outcome regression via quantile functions and its application to modelling continuously monitored heart rate and physical activity
Rahul Ghosal, Sujit K. Ghosh, Jennifer A. Schrack +1
Modern clinical and epidemiological studies widely employ wearables to record parallel streams of real-time data on human physiology and behavior. With recent advances in distribut…