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01/20/2022
Bayesian Fused Lasso Modeling via Horseshoe Prior
Bayesian fused lasso is one of the sparse Bayesian methods, which shrink...
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10/18/2021
A Bayesian approach to multi-task learning with network lasso
Network lasso is a method for solving a multi-task learning problem thro...
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03/30/2020
Variable fusion for Bayesian linear regression via spike-and-slab priors
In linear regression models, a fusion of the coefficients is used to ide...
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11/20/2019
Bayesian sparse convex clustering via global-local shrinkage priors
Sparse convex clustering is to cluster observations and conduct variable...
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02/16/2016