4 citations · 7 across the 3 of their papers we have counts for
Showing stat.MEShow all
3 papers · 1 filter
stat.ME2021
Analyzing Relevance Vector Machines using a single penalty approach
Anand Dixit, Vivekananda Roy
Relevance vector machine (RVM) is a popular sparse Bayesian learning model typically used for prediction. Recently it has been shown that improper priors assumed on multiple penalt…
stat.ME2020★ 3 cited
Model Based Screening Embedded Bayesian Variable Selection for Ultra-high Dimensional Settings
Dongjin Li, Somak Dutta, Vivekananda Roy
We develop a Bayesian variable selection method, called SVEN, based on a hierarchical Gaussian linear model with priors placed on the regression coefficients as well as on the mode…
stat.ME2017★ 4 cited
A novel sandwich algorithm for empirical Bayes analysis of rank data
Arnab Kumar Laha, Somak Dutta, Vivekananda Roy
Rank data arises frequently in marketing, finance, organizational behavior, and psychology. Most analysis of rank data reported in the literature assumes the presence of one or mor…