17 citations · 21 across the 3 of their papers we have counts for
3 papers
stat.CO2017★ 17 cited
spBayesSurv: Fitting Bayesian Spatial Survival Models Using R
Haiming Zhou, Timothy Hanson, Jiajia Zhang
Spatial survival analysis has received a great deal of attention over the last 20 years due to the important role that geographical information can play in predicting survival. Thi…
stat.AP2017★ 1 cited
A unified framework for fitting Bayesian semiparametric models to arbitrarily censored survival data, including spatially-referenced data
Haiming Zhou, Timothy Hanson
A comprehensive, unified approach to modeling arbitrarily censored spatial survival data is presented for the three most commonly-used semiparametric models: proportional hazards,…
stat.ML2016★ 3 cited
Bayesian quantile additive regression trees
Bereket P. Kindo, Hao Wang, Timothy Hanson +1
Ensemble of regression trees have become popular statistical tools for the estimation of conditional mean given a set of predictors. However, quantile regression trees and their en…