72 citations · 103 across the 4 of their papers we have counts for
4 papers
Bayesian penalized empirical likelihood and Markov Chain Monte Carlo sampling
Jinyuan Chang, Cheng Yong Tang, Yuanzheng Zhu
In this study, we introduce a novel methodological framework called Bayesian Penalized Empirical Likelihood (BPEL), designed to address the computational challenges inherent in emp…
Efficiently handling constraints with Metropolis-adjusted Langevin algorithm
Jinyuan Chang, Cheng Yong Tang, Yuanzheng Zhu
In this study, we investigate the performance of the Metropolis-adjusted Langevin algorithm in a setting with constraints on the support of the target distribution. We provide a ri…
Local independence feature screening for nonparametric and semiparametric models by marginal empirical likelihood
Jinyuan Chang, Cheng Yong Tang, Yichao Wu
We consider an independence feature screening technique for identifying explanatory variables that locally contribute to the response variable in high-dimensional regression analys…
Marginal empirical likelihood and sure independence feature screening
Jinyuan Chang, Cheng Yong Tang, Yichao Wu
We study a marginal empirical likelihood approach in scenarios when the number of variables grows exponentially with the sample size. The marginal empirical likelihood ratios as fu…