1 citations · 1 across the 1 of their papers we have counts for
6 papers
Directional FDR Control for Sub-Gaussian Sparse GLMs
Chang Cui, Jinzhu Jia, Yijun Xiao +1
High-dimensional sparse generalized linear models (GLMs) have emerged in the setting that the number of samples and the dimension of variables are large, and even the dimension of…
Asymptotic Theory for Differentially Private Generalized -models with Parameters Increasing
Yifan Fan, Huiming Zhang, Ting Yan
Modelling edge weights play a crucial role in the analysis of network data, which reveals the extent of relationships among individuals. Due to the diversity of weight information,…
Sparse Density Estimation with Measurement Errors
Xiaowei Yang, Huiming Zhang, Haoyu Wei +1
This paper aims to build an estimate of an unknown density of the data with measurement error as a linear combination of functions from a dictionary. Inspired by the penalization a…
Law of the Iterated Logarithm and Model Selection Consistency for GLMs with Independent and Dependent Responses
Xiaowei Yang, Shuang Song, Huiming Zhang
We study the law of the iterated logarithm (LIL) for the maximum likelihood estimation of the parameters (as a convex optimization problem) in the generalized linear models with in…
Some Characterizations and Properties of COM-Poisson Random Variables
Bo Li, Huiming Zhang, Jiao He
This paper introduces some new characterizations of COM-Poisson random variables. First, it extends Moran-Chatterji characterization and generalizes Rao-Rubin characterization of P…
A note on "MLE in logistic regression with a diverging dimension"
Huiming Zhang
This short note is to point the reader to notice that the proof of high dimensional asymptotic normality of MLE estimator for logistic regression under the regime given…