Bayesian CART – Prior Specification and Posterior Simulation –

By Yuhong Wu, Hkon Tjelmeland, Matthew West. 2006

How researchers see this paper

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

1. Hugh A. Chipman
2. Edward I. George
3. Robert E. McCulloch
4. Cynthia Rudin
5. Ş. Ertekin
6. Robert B. Gramacy
7. Susan Athey
8. Wei-Yin Loh

Citations in the corpus

• Learning customized and optimized lists of rules with mathematical programming (2018, methodology): “Bayesian tree methods [14,72] find local posterior modes using top-down greedy methods like regular decision trees.”
• BART: Bayesian Additive Regression Trees (2008, background): “Although mixing does not appear to be an issue, the recently proposed modifications of Wu et al. (2007) might well provide additional benefits.”
• An interpretable model for stroke prediction using rules and Bayesian analysis (2014, methodology): “We extracted every patient in the MDCD database with a diagnosis of atrial fibrillation, one year of atrial fibrillation-free observation time prior to the diagnosis, and one year of observation time following the diagnosis (n=12,586).”
• Bayesian Additive Regression Trees (2006, background): “appear to be an issue, the recently proposed modifications of Wu et al. (2007)”