6 citations · 7 across the 6 of their papers we have counts for
5 papers · 1 filter
Data transforming augmentation for heteroscedastic models
Hyungsuk Tak, Kisung You, Sujit K. Ghosh +2
Data augmentation (DA) turns seemingly intractable computational problems into simple ones by augmenting latent missing data. In addition to computational simplicity, it is now wel…
An Unified Semiparametric Approach to Model Lifetime Data with Crossing Survival Curves
Fabio N. Demarqui, Vinicius D. Mayrink, Sujit K. Ghosh
The proportional hazards (PH), proportional odds (PO) and accelerated failure time (AFT) models have been widely used in different applications of survival analysis. Despite their…
Probabilistic Detection and Estimation of Conic Sections from Noisy Data
Subharup Guha, Sujit K. Ghosh
Inferring unknown conic sections on the basis of noisy data is a challenging problem with applications in computer vision. A major limitation of the currently available methods for…
Assessing Biosimilarity using Functional Metrics
Lin Dong, Sujit K. Ghosh
In recent years there have been a lot of interest to test for similarity between biological drug products, commonly known as biologics. Biologics are large and complex molecule dru…
Multivariate Density Estimation with Missing Data
Zhen Li, Lili Wu, Weilian Zhou +1
Multivariate density estimation is a popular technique in statistics with wide applications including regression models allowing for heteroskedasticity in conditional variances. Th…