6 citations · 7 across the 4 of their papers we have counts for
4 papers
Network Inference Using the Hub Model and Variants
Zhibing He, Yunpeng Zhao, Peter Bickel +3
Statistical network analysis primarily focuses on inferring the parameters of an observed network. In many applications, especially in the social sciences, the observed data is the…
Multiple Testing of Local Extrema for Detection of Structural Breaks in Piecewise Linear Models
Zhibing He, Dan Cheng, Yunpeng Zhao
In this paper, we propose a new generic method for detecting the number and locations of structural breaks or change points in piecewise linear models under stationary Gaussian noi…
Variable Selection with Scalable Bootstrap in Generalized Linear Model for Massive Data
Zhibing He, Yichen Qin, Ben-Chang Shia +1
Bootstrap is commonly used as a tool for non-parametric statistical inference to estimate meaningful parameters in Variable Selection Models. However, for massive dataset that has…
Multiple Testing of Local Extrema for Detection of Change Points
Dan Cheng, Zhibing He, Armin Schwartzman
A new approach to detect change points based on differential smoothing and multiple testing is presented for long data sequences modeled as piecewise constant functions plus statio…