Bayesian Variable Selection Under Collinearity
By Joyee Ghosh, Andrew E Ghattas. 2015
64 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/1f210f9c849819264828e0facc53837c51be6e3d
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
- Mark F. J. Steel
- B. Naughton
- Y. Zhang
- Howard D. Bondell
- Brian J. Reich
- John M. Maheu
- David B. Dunson
- Chris Hans
In Statistics and Probability
- Mark F. J. Steel
- B. Naughton
- Y. Zhang
- Howard D. Bondell
- Brian J. Reich
- Liangjun Su
- Robert D. Nowak
- Mário A. T. Figueiredo
Citations in the corpus
- Model Averaging and Its Use in Economics (2017, background): “Reported mean excess sensitivity seems materially affected by demographic variables, publication bias and liquidity constraints and they conclude that the permanent income hypothesis seems a pretty good approximation of the actual behavior of the average consumer. Havranek et al. (2017) consider est”
- Bayesian Regression Using a Prior on the Model Fit: The R2-D2 Shrinkage Prior (2016, methodology): “In the statistics literature, the Cereal and Multidrug data were both studied by Polson and Scott (2012) and Griffin and Brown (2013); and the Cookie data were studied by Brown, Fearn, and Vannucci (2001) and Ghosh and Ghattas (2015).”