91 citations · 250 across the 23 of their papers we have counts for
23 papers
A two-way heterogeneity model for dynamic networks
Binyan Jiang, Chenlei Leng, Ting Yan +2
Dynamic network data analysis requires joint modelling individual snapshots and time dynamics. This paper proposes a new two-way heterogeneity model towards this goal. The new mode…
Time-varying -model for dynamic directed networks
Yuqing Du, Lianqiang Qu, Ting Yan +1
We extend the well-known -model for directed graphs to dynamic network setting, where we observe snapshots of adjacency matrices at different time points. We propose a kernel-sm…
A degree-corrected Cox model for dynamic networks
Yuguo Chen, Lianqiang Qu, Jinfeng Xu +2
Continuous time network data have been successfully modeled by multivariate counting processes, in which the intensity function is characterized by covariate information. However,…
Wilks' theorems in the -model
Ting Yan, Yuanzhang Li, Jinfeng Xu +2
Likelihood ratio tests and the Wilks theorems have been pivotal in statistics but have rarely been explored in network models with an increasing dimension. We are concerned here wi…
Asymptotic theory in network models with covariates and a growing number of node parameters
Qiuping Wang, Yuan Zhang, Ting Yan
We propose a general model that jointly characterizes degree heterogeneity and homophily in weighted, undirected networks. We present a moment estimation method using node degrees…
L-2 Regularized maximum likelihood for -model in large and sparse networks
Meijia Shao, Yu Zhang, Qiuping Wang +3
The -model is a powerful tool for modeling large and sparse networks driven by degree heterogeneity, where many network models become infeasible due to computational challenge a…
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,…
Approximating the inverse of a diagonally dominant matrix with positive elements
Ting Yan
For an diagonally dominant matrix with positive elements satisfying certain bounding conditions, we propose to use a diagonal matrix $S=(s_{i,…
A Unified Framework for Inference in Network Models with Degree Heterogeneity and Homophily
Ting Yan
The degree heterogeneity and homophily are two typical features in network data. In this paper, we formulate a general model for undirected networks with these two features and pre…
A Probit Network Model with Arbitrary Dependence
Ting Yan
In this paper, we adopt a latent variable method to formulate a network model with arbitrarily dependent structure. We assume that the latent variables follow a multivariate normal…
Directed Networks with a Differentially Private Bi-degree Sequence
Ting Yan
Although a lot of approaches are developed to release network data with a differentially privacy guarantee, inference using noisy data in many network models is still unknown or no…
Using Maximum Entry-Wise Deviation to Test the Goodness-of-Fit for Stochastic Block Models
Jianwei Hu, Jingfei Zhang, Hong Qin +2
The stochastic block model is widely used for detecting community structures in network data. How to test the goodness-of-fit of the model is one of the fundamental problems and ha…
Affiliation networks with an increasing degree sequence
Yong Zhang, Xiaodi Qian, Hong Qin +1
Affiliation network is one kind of two-mode social network with two different sets of nodes (namely, a set of actors and a set of social events) and edges representing the affiliat…
Asymptotic generalized bivariate extreme with random index
M. A. Abd Elgawad, A. M. Elsawah, Hong Qin +1
In many biological, agricultural, military activity problems and in some quality control problems, it is almost impossible to have a fixed sample size, because some observations ar…
Corrected Bayesian information criterion for stochastic block models
Jianwei Hu, Hong Qin, Ting Yan +1
Estimating the number of communities is one of the fundamental problems in community detection. We re-examine the Bayesian paradigm for stochastic block models and propose a "corre…
Statistical Inference in a Directed Network Model with Covariates
Ting Yan, Binyan Jiang, Stephen E. Fienberg +1
Networks are often characterized by node heterogeneity for which nodes exhibit different degrees of interaction and link homophily for which nodes sharing common features tend to a…
Ranking in the generalized Bradley-Terry models when the strong connection condition fails
Ting Yan
For nonbalanced paired comparisons, a wide variety of ranking methods have been proposed. One of the best popular methods is the Bradley-Terry model in which the ranking of a set o…
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…
Asymptotic normality in the maximum entropy models on graphs with an increasing number of parameters
Ting Yan, Yunpeng Zhao, Hong Qin
Maximum entropy models, motivated by applications in neuron science, are natural generalizations of the -model to weighted graphs. Similar to the -model, each vertex in maxim…
A central limit theorem in the -model for undirected random graphs with a diverging number of vertices
Ting Yan, Jinfeng Xu
Chatterjee, Diaconis and Sly (2011) recently established the consistency of the maximum likelihood estimate in the -model when the number of vertices goes to infinity. By approx…
Approximating the inverse of a balanced symmetric matrix with positive elements
Ting Yan, Xu Jinfeng
For an balanced symmetric matrix with positive elements satisfying and certain bounding conditions, we propose to use th…
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…
Grouped sparse paired comparisons in the Bradley-Terry model
Ting Yan, Jinfeng Xu, Yaning Yang
In a wide class of paired comparisons, especially in the sports games, in which all subjects are divided into several groups, the intragroup comparisons are dense and the intergrou…