496 citations · 1.4k across the 47 of their papers we have counts for
9 papers · 1 filter
Conformal Prediction for Dyadic Regression Under Complex Missingness
Robert Lunde, Minjie Yang, Elizaveta Levina +1
We develop a framework for conformal prediction in dyadic regression problems under complex missingness mechanisms. At the theoretical level, we develop general technical tools for…
Statistical Inference on Latent Space Models for Network Data
Jinming Li, Shihao Wu, Chengyu Cui +2
Latent space models are powerful statistical tools for modeling and understanding network data. While the importance of accounting for uncertainty in network analysis has been well…
Likelihood ratio tests in random graph models with increasing dimensions
Ting Yan, Yuanzhang Li, Jinfeng Xu +2
We explore the Wilks phenomena in two random graph models: the -model and the Bradley-Terry model. For two increasing dimensional null hypotheses, including a specified null $H_…
Limiting laws and consistent estimation criteria for fixed and diverging number of spiked eigenvalues
Jianwei Hu, Jingfei Zhang, Jianhua Guo +1
In this paper, we study limiting laws and consistent estimation criteria for the extreme eigenvalues in a spiked covariance model of dimension . Firstly, for fixed , we propo…
On the Convergence of the EM Algorithm: A Data-Adaptive Analysis
Chong Wu, Can Yang, Hongyu Zhao +1
The Expectation-Maximization (EM) algorithm is an iterative method to maximize the log-likelihood function for parameter estimation. Previous works on the convergence analysis of t…
Asymptotics in directed exponential random graph models with an increasing bi-degree sequence
Ting Yan, Chenlei Leng, Ji Zhu
Although asymptotic analyses of undirected network models based on degree sequences have started to appear in recent literature, it remains an open problem to study statistical pro…
Wilks' theorems in some exponential random graph models
Ting Yan, Yuanzhang Li, Jinfeng Xu +2
We are concerned here with the likelihood ratio statistics in two exponential random graph models -- the -model and the Bradley-Terry model, in which the degree sequence on an u…
Consistency of community detection in networks under degree-corrected stochastic block models
Yunpeng Zhao, Elizaveta Levina, Ji Zhu
Community detection is a fundamental problem in network analysis, with applications in many diverse areas. The stochastic block model is a common tool for model-based community det…
Piecewise linear regularized solution paths
Saharon Rosset, Ji Zhu
We consider the generic regularized optimization problem . Efron, Hastie, Johnstone and Tibshirani [Ann. Statist. 32 (2…