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math.ST2021
Geometric ergodicity of Gibbs samplers for the Horseshoe and its regularized variants
Suman K. Bhattacharya, Kshitij Khare, Subhadip Pal
The Horseshoe is a widely used and popular continuous shrinkage prior for high-dimensional Bayesian linear regression. Recently, regularized versions of the Horseshoe prior have al…
math.ST2019★ 1 cited
A Bayesian Approach for Analyzing Data on the Stiefel Manifold
Subhadip Pal, Subhajit Sengupta, Riten Mitra +1
Directional data emerges in a wide array of applications, ranging from atmospheric sciences to medical imaging. Modeling such data, however, poses unique challenges by virtue of th…