Published
Zhang, C., Bedi, T., Moon, C., Chen, M., and Li, Q. (2024) Bayesian Landmark-based Shape Analysis of Tumor Pathology Images. Journal of the American Statistical Association, In press.
Qu, J., Ng, HKT., and Moon, C. (2023) Empirical Likelihood Ratio Tests for Homogeneity of Component Lifetime Distributions Based on System Lifetime Data. Computational Statistics, In press.
Moon, C.+ and Lazar, N. A. (2023) Hypothesis Testing for Shapes using Vectorized Persistence Diagrams. Journal of the Royal Statistical Society: Series C, 72, 628-648.
Moon, C.+, Li, Q., and Xiao, G. (2023) Using Persistent Homology Topological Features to Characterize Medical Images: Case Studies on Lung and Brain Cancers. Annals of Applied Statistics, 17, 2192-2211.
Moon, C.+ and Bedoui, A. (2023) The Bayesian Elastic Net based on Empirical Likelihood. Journal of Statistical Computation and Simulation, 93, 1669-1693.
Fernández, E., Yang, S., Chiou, S. H., Moon, C., Zhang, C., Yao, B., Xiao, G., and Li, Q. (2022) SAFARI: shape analysis for AI-segmented images. BMC Medical Imaging.
Moon, C.+, Wang, X., and Lim, J. (2022) Empirical likelihood inference for area under the receiver operating characteristic curve using ranked set samples. Pharmaceutical Statistics, 21, 1219-1245.
Giansiracusa, N., Giansiracusa, B., and Moon, C. Persistent Homology Machine Learning for Fingerprint Classification. 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), 1219-1226.
Moon, C.+, Mitchell, S. A., Heath, J. E., and Andrew, M. (2019) Statistical Inference Over Persistent Homology Predicts Fluid Flow in Porous Media. Water Resources Research, 55, 9592–9603.
Moon, C.+, Giansiracusa, N., and Lazar, N. A. (2018) Persistence Terrace for Topological Inference of Point Cloud Data. Journal of Computational and Graphical Statistics, 27, 576-586.
Preprints
- Ahn, S., Wang, X., Moon, C., and Lim, J. New Scheme of Empirical Likelihood Method for Ranked Set Sampling: Applications to Two One Sample Problems.
+ Corresponding author