2 citations · 2 across the 4 of their papers we have counts for
4 papers
On MCMC mixing for predictive inference under unidentified transformation models
Chong Zhong, Jin Yang, Junshan Shen +2
Reliable Bayesian predictive inference has long been an open problem under unidentified transformation models, since the Markov Chain Monte Carlo (MCMC) chains of posterior predict…
Bayesian prediction via nonparametric transformation models
Chong Zhong, Jin Yang, Junshan Shen +2
This article tackles the old problem of prediction via a nonparametric transformation model (NTM) in a new Bayesian way. Estimation of NTMs is known challenging due to model uniden…
Dependent Dirichlet Processes for Analysis of a Generalized Shared Frailty Model
Chong Zhong, Zhihua Ma, Junshan Shen +1
Bayesian paradigm takes advantage of well fitting complicated survival models and feasible computing in survival analysis owing to the superiority in tackling the complex censoring…
Empirical Likelihood for Right Censored Lifetime Data
Shuyuan He, Wei Liang, Junshan Shen +1
This paper considers the empirical likelihood (EL) construction of confidence intervals for a linear functional based on right censored lifetime data. Many of the results in litera…