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 • 29 Nov 2020 • Amy X. Zhang, Le Bao, Changcheng Li, Michael J. Daniels
We introduce a novel procedure for obtaining cross-validated predictive estimates for Bayesian hierarchical regression models (BHRMs).
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.