We propose a distributional outcome regression (DOR) with scalar and
dis...
Bayesian statistical inference for Generalized Linear Models (GLMs) with...
High dimensional incomplete data can be found in a wide range of systems...
Estimating parameters of mixture model has wide applications ranging fro...
Data augmentation (DA) turns seemingly intractable computational problem...
Inferring unknown conic sections on the basis of noisy data is a challen...
The proportional hazards (PH), proportional odds (PO) and accelerated fa...
In recent years there have been a lot of interest to test for similarity...
In recent years there have been a lot of interest to test for similarity...