1 citations · 1 across the 8 of their papers we have counts for
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Sequential estimation for GEE with adaptive variables and subject selection
Zimu Chen, Zhanfeng Wang, Yuan-chin Ivan Chang
Modeling correlated or highly stratified multiple-response data becomes a common data analysis task due to modern data monitoring facilities and methods. Generalized estimating equ…
Modeling Function-Valued Processes with Nonseparable and/or Nonstationary Covariance Structure
Evandro Konzen, Jian Qing Shi, Zhanfeng Wang
We discuss a general Bayesian framework on modeling multidimensional function-valued processes by using a Gaussian process or a heavy-tailed process as a prior, enabling us to hand…
Distributed sequential method for analyzing massive data
Zhanfeng Wang, Yuan-chin Ivan Chang
To analyse a very large data set containing lengthy variables, we adopt a sequential estimation idea and propose a parallel divide-and-conquer method. We conduct several convention…
Robust functional ANOVA model with t-process
Chen Zhang, Zimu Chen, Zhanfeng Wang +1
Robust estimation approaches are of fundamental importance for statistical modelling. To reduce susceptibility to outliers, we propose a robust estimation procedure with t-process…
A Robust t-process Regression Model with Independent Errors
Wang Zhanfeng, Noh Maengseok, Lee Youngjo +1
Gaussian process regression (GPR) model is well-known to be susceptible to outliers. Robust process regression models based on t-process or other heavy-tailed processes have been d…
Nearly Semiparametric Efficient Estimation of Quantile Regression
Kani Chen, Yuanyuan Lin, Zhanfeng Wang +1
As a competitive alternative to least squares regression, quantile regression is popular in analyzing heterogenous data. For quantile regression model specified for one single quan…