3 citations · 6 across the 14 of their papers we have counts for
14 papers
Practical Boundary Degeneracy and Reverse-Martingale Limits in Sequential Binary Models
Yuan-chin Ivan Chang
A run of all failures, a run of all successes, or complete separation in a logistic regression each tempts the analyst to declare a probability of exactly zero or one. The central…
Optimal Stopping in Sequential Clinical Prediction
Hui-Mean Foo, Yuan-chin Ivan Chang
Most clinical prediction studies are developed from retrospective cohorts and reported as if all patient information were observed at once. In practice, clinicians face a more cons…
A Survey: Potential Dimensionality Reduction Methods
Yuan-chin Ivan Chang
Dimensionality reduction is a fundamental technique in machine learning and data analysis, enabling efficient representation and visualization of high-dimensional data. This paper…
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…
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…