… of LASSO and the Bayesian LASSO. … the decision making in scale space is discussed. The
ideas suggested in this paper are applied to Bayesian ridge regression and classic LASSO in …

… We also compare the predictive performance of BaLasso-BMA to that of the Lasso, aLasso,
and the original Bayesian Lasso (BLasso). The implementation of BLasso is similar to …

… Here, we apply the LASSO Bandit to learn an optimal dosing strategy using patients’ clinical
… to a Bayesian prior over the unknown arm parameters. In practice, the decision maker may …

… : regular Bayesian LASSO and reciprocal Bayesian LASSO, in light of their respective
hierarchical formulations. To observe that, we rewrite the Bayesian LASSO hierarchical model …

… Bayesian decision rule for QTL detection under the recently introduced extended Bayesian
LASSO … In general, rigorous decision making with regard to true and false signals remains an …

… properties of lasso approaches used for variable selection to Bayesian variable … Bayesian
lasso and elastic net lasso, but they also included a formulation for spike-and-slab Bayesian …

… Not only does our new method perform comparably to the standard Bayesian lasso, it
outperforms the standard Bayesian lasso substantially when the model is misspecified. …

… In all examples, detailed comparisons with a variety of ordinary and Bayesian lasso … above
Bayesian interpretation of ordinary lasso estimates, a wide variety of Bayesian lasso methods …

… To circumvent the computational complexities associated with the MCMC sampling required
for the Bayesian Lasso, we propose fitting the Bayesian Lasso model through a type-II …

… Bayesian LASSO method to determine what factors affect an individual's FWB score. The
Bayesian LASSO … zero, indicating that the Bayesian LASSO technique was successful in …