52 citations · 57 across the 5 of their papers we have counts for
Showing 2015Show all
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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…
math.ST2015★ 52 cited
MCMC-Based Inference in the Era of Big Data: A Fundamental Analysis of the Convergence Complexity of High-Dimensional Chains
Bala Rajaratnam, Doug Sparks
Markov chain Monte Carlo (MCMC) lies at the core of modern Bayesian methodology, much of which would be impossible without it. Thus, the convergence properties of MCMCs have receiv…