11 citations · 20 across the 7 of their papers we have counts for
7 papers
Recent Advances in Text Analysis
Zheng Tracy Ke, Pengsheng Ji, Jiashun Jin +1
Text analysis is an interesting research area in data science and has various applications, such as in artificial intelligence, biomedical research, and engineering. We review popu…
Multilayer random dot product graphs: Estimation and online change point detection
Fan Wang, Wanshan Li, Oscar Hernan Madrid Padilla +2
We study the multilayer random dot product graph (MRDPG) model, an extension of the random dot product graph to multilayer networks. To estimate the edge probabilities, we deploy a…
Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions
Wanshan Li, Daren Wang, Alessandro Rinaldo
We develop a novel, general and computationally efficient framework, called Divide and Conquer Dynamic Programming (DCDP), for localizing change points in time series data with hig…
Detecting Abrupt Changes in Sequential Pairwise Comparison Data
Wanshan Li, Daren Wang, Alessandro Rinaldo
The Bradley-Terry-Luce (BTL) model is a classic and very popular statistical approach for eliciting a global ranking among a collection of items using pairwise comparison data. In…
Co-citation and Co-authorship Networks of Statisticians
Pengsheng Ji, Jiashun Jin, Zheng Tracy Ke +1
We collected and cleaned a large data set on publications in statistics. The data set consists of the coauthor relationships and citation relationships of 83, 331 papers published…
-Bounds of the MLE in the BTL Model under General Comparison Graphs
Wanshan Li, Shamindra Shrotriya, Alessandro Rinaldo
The Bradley-Terry-Luce (BTL) model is a popular statistical approach for estimating the global ranking of a collection of items using pairwise comparisons. To ensure accurate ranki…
Nonparametric Estimation in the Dynamic Bradley-Terry Model
Heejong Bong, Wanshan Li, Shamindra Shrotriya +1
We propose a time-varying generalization of the Bradley-Terry model that allows for nonparametric modeling of dynamic global rankings of distinct teams. We develop a novel estimato…