36 citations · 78 across the 20 of their papers we have counts for
6 papers · 1 filter
Noisy Matrix Completion under Informative Missingness
Xuanyu Chen, Xiaoyue Niu, Gongjun Xu +1
Noisy matrix completion is a fundamental problem in statistical learning and has attracted a substantial amount of interest over the last two decades. In a variety of applications,…
Comparing the Robustness of Simple Network Scale-Up Method (NSUM) Estimators
Jessica P. Kunke, Ian Laga, Xiaoyue Niu +1
The network scale-up method (NSUM) is a cost-effective approach to estimating the size or prevalence of a group of people that is hard to reach through a standard survey. The basic…
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…
A Review of Dynamic Network Models with Latent Variables
Bomin Kim, Kevin Lee, Lingzhou Xue +1
We present a selective review of statistical modeling of dynamic networks. We focus on models with latent variables, specifically, the latent space models and the latent class mode…
Incorporating Hierarchical Structure Into Dynamic Systems: An Application Of Estimating HIV Epidemics At Sub-National And Sub-Population Level
Le Bao, Ben Sheng, Xiaoyue Niu +4
Dynamic models have been successfully used in producing estimates of HIV epidemics at national level, due to their epidemiological nature and their ability to simultaneously estima…
A covariance regression model
Peter D. Hoff, Xiaoyue Niu
Classical regression analysis relates the expectation of a response variable to a linear combination of explanatory variables. In this article, we propose a covariance regression m…