790 citations · 1.1k across the 37 of their papers we have counts for
38 papers
General Covariance-Based Conditions for Central Limit Theorems with Dependent Triangular Arrays
Arun G. Chandrasekhar, Matthew O. Jackson, Tyler H. McCormick +1
We present a general central limit theorem with simple, easy-to-check covariance-based sufficient conditions for triangular arrays of random vectors when all variables could be int…
Estimating and Correcting Degree Ratio Bias in the Network Scale-up Method
Ian Laga, Jessica P. Kunke, Tyler H. McCormick +1
The Network Scale-up Method (NSUM) uses social networks and answers to "How many X's do you know?" questions to estimate sizes of groups excluded by standard surveys. This paper ad…
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…
Bayesian Age Category Reconciliation for Age- and Cause-specific Under-five Mortality Estimates
Shuxian Fan, Li Liu, Jamie Perin +1
Age-disaggregated health data is crucial for effective public health planning and monitoring. Monitoring under-five mortality, for example, requires highly detailed age data since…
Bayesian Active Questionnaire Design for Cause-of-Death Assignment Using Verbal Autopsies
Toshiya Yoshida, Trinity Shuxian Fan, Tyler McCormick +2
Only about one-third of the deaths worldwide are assigned a medically-certified cause, and understanding the causes of deaths occurring outside of medical facilities is logisticall…
Asymptotically Normal Estimation of Local Latent Network Curvature
Steven Wilkins-Reeves, Tyler McCormick
Network data, commonly used throughout the physical, social, and biological sciences, consist of nodes (individuals) and the edges (interactions) between them. One way to represent…