The Spike-and-Slab LASSO
By Veronika Rocková, Edward I. George. 2018
399 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/da1eb332c97b47ffb4fa890c57a13c74d97b0cbc
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
- Yingbo Li
- Merlise A. Clyde
- B. Naughton
- Y. Zhang
- Howard D. Bondell
- Brian J. Reich
- Mark F. J. Steel
- Mikyoung Jun
In Statistics and Probability
- Yingbo Li
- Merlise A. Clyde
- B. Naughton
- Y. Zhang
- Howard D. Bondell
- Brian J. Reich
- Mark F. J. Steel
- Joyee Ghosh
Citations in the corpus
- Mixtures of g-Priors in Generalized Linear Models (2015, background): “Independent priors on regression coefficients (Ishwaran and Rao 2005; Ghosh and Clyde 2011; Johnson and Rossell 2012; Ročková and George 2015) often have better performance for estimation when predictors are highly correlated.”
- Bayesian Regression Using a Prior on the Model Fit: The R2-D2 Shrinkage Prior (2016, result): “…R2-D2 prior yields strong posterior consistency in the case that pn ≺ n, and further that it attains the optimal near-minimax contraction rate in general, including with pn n, as given by Castillo, Schmidt-Hieber, and van der Vaart (2015), Song and Liang (2017), and Ročková and George (2018).”