1 citations · 2 across the 5 of their papers we have counts for
6 papers
generalRSS: Sampling and Inference for Balanced and Unbalanced Ranked Set Sampling in R
Chul Moon, Soohyun Ahn
Ranked set sampling (RSS) is a stratified sampling method that improves efficiency over simple random sampling (SRS) by utilizing auxiliary information for ranking and stratificati…
Empirical Likelihood Inference for Area under the ROC Curve using Ranked Set Samples
Chul Moon, Xinlei Wang, Johan Lim
The area under a receiver operating characteristic curve (AUC) is a useful tool to assess the performance of continuous-scale diagnostic tests on binary classification. In this art…
Bayesian Elastic Net based on Empirical Likelihood
Chul Moon, Adel Bedoui
We propose a Bayesian elastic net that uses empirical likelihood and develop an efficient tuning of Hamiltonian Monte Carlo for posterior sampling. The proposed model relaxes the a…
Hypothesis Testing for Shapes using Vectorized Persistence Diagrams
Chul Moon, Nicole A. Lazar
Topological data analysis involves the statistical characterization of the shape of data. Persistent homology is a primary tool of topological data analysis, which can be used to a…
Persistent homology machine learning for fingerprint classification
Noah Giansiracusa, Robert Giansiracusa, Chul Moon
The fingerprint classification problem is to sort fingerprints into pre-determined groups, such as arch, loop, and whorl. It was asserted in the literature that minutiae points, wh…
Persistence Terrace for Topological Inference of Point Cloud Data
Chul Moon, Noah Giansiracusa, Nicole A. Lazar
Topological data analysis (TDA) is a rapidly developing collection of methods for studying the shape of point cloud and other data types. One popular approach, designed to be robus…