2 citations · 5 across the 7 of their papers we have counts for
7 papers
Beyond 2-D Mass-Radius Relationships: A Nonparametric and Probabilistic Framework for Characterizing Planetary Samples in Higher Dimensions
Shubham Kanodia, Matthias Y. He, Eric B. Ford +2
Fundamental to our understanding of planetary bulk compositions is the relationship between their masses and radii, two properties that are often not simultaneously known for most…
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…
Transporting survival of an HIV clinical trial to the external target populations
Dasom Lee, Sujit Ghosh, Shu Yang
Due to the heterogeneity of the randomized controlled trial (RCT) and external target populations, the estimated treatment effect from the RCT is not directly applicable to the tar…
PaEBack: Pareto-Efficient Backsubsampling for Time Series Data
Xinyu Zhang, Sujit Ghosh
Time series forecasting has been a quintessential topic in data science, but traditionally, forecasting models have relied on extensive historical data. In this paper, we address a…
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…