Ting Yan

collaborators

4 papers

math.ST2025

Inference in the $p_{0}$ model for directed networks under local differential privacy

Xueying Sun, Ting Yan, Binyan Jiang

We explore the edge-flipping mechanism, a type of input perturbation, to release the directed graph under edge-local differential privacy. By using the noisy bi-degree sequence fro…

math.ST2025

Moment estimation in paired comparison models with a growing number of subjects

Qiuping Wang, Lu Pan, Ting Yan

When the number of subjects, $n$ , is large, paired comparisons are often sparse. Here, we study statistical inference in a class of paired comparison models parameterized by a set…

stat.ME2025

Inference in a generalized Bradley-Terry model for paired comparisons with covariates and a growing number of subjects

Ting Yan

Motivated by the home-field advantage in sports, we propose a generalized Bradley--Terry model that incorporates covariate information for paired comparisons. It has an $n$ -dimensi…

math.ST2025

Testing degree heterogeneity in directed networks

Lu Pan, Qiuping Wang, Ting Yan

In this study, we focus on the likelihood ratio tests in the $p_{0}$ model for testing degree heterogeneity in directed networks, which is an exponential family distribution on direc…

Inference in the p0​ model for directed networks under local differential privacy

Moment estimation in paired comparison models with a growing number of subjects

Inference in a generalized Bradley-Terry model for paired comparisons with covariates and a growing number of subjects

Testing degree heterogeneity in directed networks

Inference in the $p_{0}$ model for directed networks under local differential privacy