4 citations · 5 across the 10 of their papers we have counts for
12 papers
Distributed sequential federated learning
Z. F. Wang, X. Y. Zhang, Y-c I. Chang
The analysis of data stored in multiple sites has become more popular, raising new concerns about the security of data storage and communication. Federated learning, which does not…
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…
Active learning for binary classification with variable selection
Zhanfeng Wang, Yumi Kwon, Yuan-chin Ivan Chang
Modern computing and communication technologies can make data collection procedures very efficient. However, our ability to analyze large data sets and/or to extract information ou…
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…
A robust estimation for the extended t-process regression model
Zhanfeng Wang, Kai Li, Jian Qing Shi
Robust estimation and variable selection procedure are developed for the extended t-process regression model with functional data. Statistical properties such as consistency of est…