no code implementations • 18 Oct 2023 • Anja Zgodic, Ray Bai, Jiajia Zhang, Alexander C. McLain
We use empirical Bayes estimators of hyperparameters for increased flexibility and an Expectation-Conditional-Minimization (ECM) algorithm for computationally efficient maximum a posteriori probability (MAP) estimation of parameters.
no code implementations • 16 Sep 2022 • Alexander C. McLain, Anja Zgodic, Howard Bondell
In this paper, we proposed a computationally efficient and powerful Bayesian approach for sparse high-dimensional linear regression.