24 citations · 24 across the 5 of their papers we have counts for
5 papers
Bayesian Variable Selection for Single Index Logistic Model
Yinrui Sun, Hangjin Jiang
In the era of big data, variable selection is a key technology for handling high-dimensional problems with a small sample size but a large number of covariables. Different variable…
A Goodness-of-Fit Test for Statistical Models
Hangjin Jiang
Statistical modeling plays a fundamental role in understanding the underlying mechanism of massive data (statistical inference) and predicting the future (statistical prediction).…
The Link between Magnetic-field Orientations and Star Formation Rates
Hua-bai Li, Hangjin Jiang, Xiaodan Fan +2
Understanding star formation rates (SFR) is a central goal of modern star-formation models, which mainly involve gravity, turbulence and, in some cases, magnetic fields (B-fields).…
Equitability of Dependence Measure
Hangjin Jiang, Kan Liu, Yiming Ding
Measuring dependence between two random variables is very important, and critical in many applied areas such as variable selection, brain network analysis. However, we do not know…
Dependence Measure for non-additive model
Hangjin Jiang, Yiming Ding
We proposed a new statistical dependency measure called Copula Dependency Coefficient(CDC) for two sets of variables based on copula. It is robust to outliers, easy to implement, p…