BAYESIAN HYPER‐LASSOS WITH NON‐CONVEX PENALIZATION

By Jim E. Griffin, Philip J. Brown. 2011

88 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/193177575ef4c25b2712a1815b71fd1f206de8d2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Jim E. Griffin
2. Philip J. Brown
3. Chia-Yen Chen
4. Y. Feng
5. Tian Ge
6. Jordan W. Smoller
7. Yang Ni
8. Gregor Kastner

In Statistics and Probability

1. Philip J. Brown
2. Jim E. Griffin
3. Chia-Yen Chen
4. Y. Feng
5. Tian Ge
6. Jordan W. Smoller
7. Yang Ni
8. Gregor Kastner

Citations in the corpus

• Hierarchical Shrinkage Priors for Regression Models (2017, background): “, 2010), the normal-exponential-gamma (NEG) (Griffin and Brown, 2011), the generalized Beta mixtures (Armagan et al.”
• Polygenic prediction via Bayesian regression and continuous shrinkage priors (2018, background): “, 2012], and the normal-exponential-gamma prior [Armagan et al., 2011; Griffin and Brown, 2011], among others.”