52 citations · 57 across the 5 of their papers we have counts for
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stat.ME2015★ 1 cited
Scalable Bayesian shrinkage and uncertainty quantification for high-dimensional regression
Bala Rajaratnam, Doug Sparks, Kshitij Khare +1
Bayesian shrinkage methods have generated a lot of recent interest as tools for high-dimensional regression and model selection. These methods naturally facilitate tractable uncert…
stat.ME2014
Lasso Regression: Estimation and Shrinkage via Limit of Gibbs Sampling
Bala Rajaratnam, Steven Roberts, Doug Sparks +1
The application of the lasso is espoused in high-dimensional settings where only a small number of the regression coefficients are believed to be nonzero. Moreover, statistical pro…