3 citations · 4 across the 4 of their papers we have counts for
8 papers
Perfect Spectral Clustering with Discrete Covariates
Jonathan Hehir, Xiaoyue Niu, Aleksandra Slavkovic
Among community detection methods, spectral clustering enjoys two desirable properties: computational efficiency and theoretical guarantees of consistency. Most studies of spectral…
A Bayesian hierarchical modeling approach to combining multiple data sources: A case study in size estimation
Jacob Parsons, Xiaoyue Niu, Le Bao
To combat the HIV/AIDS pandemic effectively, targeted interventions among certain key populations play a critical role. Examples of such key populations include sex workers, people…
Thirty Years of The Network Scale up Method
Ian Laga, Le Bao, Xiaoyue Niu
Estimating the size of hard-to-reach populations is an important problem for many fields. The Network Scale-up Method (NSUM) is a relatively new approach to estimate the size of th…
Evaluating the relative contribution of data sources in a Bayesian analysis with the application of estimating the size of hard to reach populations
Jacob Parsons, Xiaoyue Niu, Le Bao
When using multiple data sources in an analysis, it is important to understand the influence of each data source on the analysis and the consistency of the data sources with each o…
What Can We Learn from the Travelers Data in Detecting Disease Outbreaks -- A Case Study of the COVID-19 Epidemic
Le Bao, Ying Zhang, Xiaoyue Niu
Background: Travel is a potent force in the emergence of disease. We discussed how the traveler case reports could aid in a timely detection of a disease outbreak. Methods: Using t…
Near-Balanced Incomplete Block Designs with An Application to Poster Competitions
Xiaoyue Niu, James L. Rosenberger
Judging scholarly posters creates a challenge to assign the judges efficiently. If there are many posters and few reviews per judge, the commonly used Balanced Incomplete Block Des…