no code implementations • 19 May 2021 • Numair Sani, Yizhen Xu, AmirEmad Ghassami, Ilya Shpitser
For binary treatments, efficient estimators for the direct and indirect effects are presented in Tchetgen Tchetgen and Shpitser (2012) based on the influence function of the parameter of interest.
1 code implementation • 18 Jan 2021 • Yizhen Xu, Joseph W. Hogan, Michael J. Daniels, Rami Kantor, Ann Mwangi
The multinomial probit Bayesian additive regression trees (MPBART) framework was proposed by Kindo et al. (KD), approximating the latent utilities in the multinomial probit (MNP) model with BART (Chipman et al. 2010).
1 code implementation • 16 Dec 2018 • Yizhen Xu, Tao Liu, Michael J. Daniels, Rami Kantor, Ann Mwangi, Joseph W. Hogan
Binary classification rules based on covariates typically depend on simple loss functions such as zero-one misclassification.