2 citations · 5 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
Bayesian estimation of clustered dependence structures in functional neuroconnectivity
Hyoshin Kim, Sujit K. Ghosh, Adriana Di Martino +1
Motivated by the need to model the dependence between regions of interest in functional neuroconnectivity for efficient inference, we propose a new sampling-based Bayesian clusteri…
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…
Nonparametric estimation of multivariate copula using empirical bayes method
Lu Lu, Sujit Ghosh
In the field of finance, insurance, and system reliability, etc., it is often of interest to measure the dependence among variables by modeling a multivariate distribution using a…