Published

• Nghiem L. H., Cao, J., Kouros, C., and Moon, C.⁺ (2025) Enhancing Empathic Accuracy: Penalized Functional Alignment Method to Correct Temporal Misalignment in Real-time Emotional Perception. Psychometrika, In press.

• Ahn, S., Wang, X., Moon, C., and Lim, J. (2025) New Scheme of Empirical Likelihood Method for Ranked Set Sampling: Applications to Two One Sample Problems. International Statistical Review, 93, 459–498.

• 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, 119, 798–810.

• Qu, J., Ng, HKT., and Moon, C. (2024) Empirical Likelihood Ratio Tests for Homogeneity of Component Lifetime Distributions Based on System Lifetime Data. Computational Statistics, 39, 3007–3029.

• 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

• Moon, C. and Ahn, S. generalRSS: Sampling and Inference for Balanced and Unbalanced Ranked Set Sampling in R. Submitted.

• Park, Y.^**, Wu F., Feng X., Yang E., Yao B., Moon, C., Xiao, G., and Li, Q. Spatial Analysis for AI-segmented Histopathology Images: Methods and Implementation. Submitted.

• Jang, Y.^*, Dan, T., Vu, E.^**, and Moon, C.⁺. A survival analysis of glioma patients using topological features and locations of tumors. Submitted

⁺ Corresponding author

^* Graduate student

^** Undergraduate student