62 citations · 170 across the 16 of their papers we have counts for
16 papers
Predicting exoplanet mass from radius and incident flux: A Bayesian mixture model
Qi Ma, Sujit K Ghosh
The relationship between mass and radius (M-R relation) is the key for inferring the planetary compositions and thus valuable for the studies of formation and migration models. How…
EMFlow: Data Imputation in Latent Space via EM and Deep Flow Models
Qi Ma, Sujit K. Ghosh
The presence of missing values within high-dimensional data is an ubiquitous problem for many applied sciences. A serious limitation of many available data mining and machine learn…
A Non-Iterative Quantile Change Detection Method in Mixture Model with Heavy-Tailed Components
Yuantong Li, Qi Ma, Sujit K. Ghosh
Estimating parameters of mixture model has wide applications ranging from classification problems to estimating of complex distributions. Most of the current literature on estimati…
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…