The best thing about being a statistician is that you get to play in everyone's backyard. - John Tukey
Published Articles
(2025) Bridging African Immigrant Health Literacy Gaps, by Christopher, A., Chen, Y. J., Hovey, P., & Muhumure A. Health Equity. Accepted.
(2025) On The Modified Information-Based Approach to The Change Point Detection (CPD) Problem under the Non-central Skew t Distribution, by Hasan, A. & Chen, Y. J. Journal of Statistical Theory and Practice, 19(3), 54. DOI: 10.1007/s42519-025-00474-y.
(2025) Data-Driven Insights into Racial Disparities in Violent Deaths in the United States: Predictive Models for Risk Assessment and Business, by Chen, Y. J. & Miljkovic, T. Journal of Business Analytics, 1-28. DOI: 10.1080/2573234X.2025.2524176.
(2024) Introducing ChatSQC: Enhancing statistical quality control with augmented AI, by Megahed, F. M., Chen, Y. J., Zwetsloot, I. M., Knoth, S., Montgomery, D. C., & Jones-Farmer, L. A. Journal of Quality Technology, 56(5), 474–497. DOI: 10.1080/00224065.2024.2372328 (ChatSQC).
(2024) How Generative AI models such as ChatGPT can be (Mis)Used in SPC Practice, Education, and Research? An Exploratory Study, by Megahed, F. M., Chen, Y. J., Ferris, J. A., Knoth, S., & Jones-Farmer. L. A. Quality Engineering, 36(2), 287-315. DOI: 10.1080/08982112.2023.2206479 (Supplementary Materials, Media).
(2023) Long-Term Analysis of Glaciers and Glacier Lakes in the Central and Eastern Himalaya, by Agarwal, V., de Vries, M. V. W., Haritashya, U. K., Garg, S., Kargel, J. S., Chen, Y. J., & Shugar, D. H. Science of The Total Environment, 898, 165598. DOI: 10.1016/j.scitotenv.2023.165598.
(2023) Explaining Predictive Model Performance: An Experimental Study of Data Preparation and Model Choice, by Dolatsara, H. A., Chen, Y. J., Leonard, R. D., Megahed, F. M., & Jones-Farmer, L. A. Big Data, 11(3), 199-214. DOI: 10.1089/big.2021.0067 (Supplementary Materials).
(2022) Inferences on Location Parameter in Multivariate Skew-Normal Family with Unknown Scale Parameter, by Ma, Z., Chen, Y. J., Wang, T., & Liu, J. Communications in Statistics - Simulation and Computation, 51 (9), 5465-5481. DOI: 10.1080/03610918.2020.1772300.
(2021) A New Computational Approach for Estimation of the Gini Index Based on Grouped Data, by Miljkovic, T. & Chen, Y. J. Computational Statistics. 36(3), 2289-2311. DOI: 10.1007/s00180-021-01082-7.
(2021) DPP: Deep Predictor for Price Movement from Candlestick Charts, by Hung, C. C. & Chen, Y. J. PLoS ONE. 16(6): e0252404. DOI: 10.1371/journal.pone.0252404
(2020) A Two-Stage Machine Learning Framework to Predict Heart Transplantation Survival Probabilities over Time with a Monotonic Probability Constraint, by Dolatsara, H. A., Chen, Y. J., Evens, C., Gupta, A., & Megahed, F. M. Decision Support Systems. 137, 113363. DOI: 10.1016/j.dss.2020.113363 (Supplementary Materials, H-TOP: Heart Transplantation Out Outcomes Predictor) .
(2020) A data analytic framework for physical fatigue management using wearable sensors, by Sedighi Maman, Z., Chen, Y. J., Baghdadi, A., Lombardo, S., Cavuoto, L. A., & Megahed, F. M. Expert Systems With Applications. 155, 113405. DOI: 10.1016/j.eswa.2020.113405 (Supplementary Materials)
(2020) Predicting the price movement from candlestick charts: a CNN-based approach, by Hung, C. C., Chen, Y. J., Guo, S. J. & Hsu, F. C. International Journal of Ad Hoc and Ubiquitous Computing. 34(2), 111-120. DOI: 10.1504/IJAHUC.2020.107821.
(2020) Modified Jackknife Empirical Likelihood, by Chen, Y. J. & Ning, W. Advances and Applications in Statistics. 60(2), 201-215. DOI: 10.17654/AS060020201.
(2019) Information Approach for a Lifetime Change-Point Model Based on the Exponential-Logarithmic Distribution, by Chen, Y. J. & Ning, W. Communications in Statistics - Simulation and Computation. , 48(7), 1996-2003. DOI: 10.1080/03610918.2018.1429621.
(2019) From Grouped to De-grouped Data: A New Approach in Distribution Fitting for Grouped Data, by Chen, Y. J. & Miljkovic, T. Journal of Statistical Computation and Simulation. 89(2), 272-291. DOI: 10.1080/00949655.2018.1545839.
(2017) Tests for Smooth-Abrupt Changes with Applications, by Chen, Y. J. & Ning, W. Electronic Journal of Applied Statistical Analysis. 10(1), 194-205. DOI: 10.1285/i20705948v10n1p194.
(2017) Jackknife Empirical Likelihood Test for Mean Residual Life Functions, by Chen, Y. J., Ning, W., & Gupta, A. K. Communications in Statistics - Theory and Methods. 46(7), 3111-3122. DOI: 10.1080/03610926.2015.1054943.
(2016) Empirical Likelihood Based Detection Procedure for Change Point in Mean Residual Life Functions under Random Censorship, by Chen, Y. J., Ning, W., & Gupta, A. K. Pharmaceutical Statistics.15, 246-254. DOI: 10.1002/pst.1744.
(2015) Jackknife empirical likelihood method for testing the equality of two variances, by Chen, Y. J., Ning, W., & Gupta, A. K. Journal of Applied Statistics. 42(1), 144-160. DOI: 10.1080/02664763.2014.938225,
(2015) Jackknife Empirical Likelihood Test for Changes in Mean and Variance, by Chen, Y. J., Ning, W., & Gupta, A. K. Far East Journal of Theoretical Statistics. 52(2), 75-87.
Accepted Book Chapter
(2018) The Inference on the Location Parameters Under Multivariate Skew Normal Settings by Ma, Z., Chen, Y.J., Wang, T., & Peng, W. In: Kreinovich V., Thach N., Trung N., & Van Thanh D. (eds) Beyond Traditional Probabilistic Methods in Economics. ECONOVN 2019. Studies in Computational Intelligence, Vol 809, 146-162. Springer, Cham. DOI: 10.1007/978-3-030-04200-4_11.
R Packages
(2023) basemodels: Baseline Models for Classification and Regression. Chen, Y.J., Megahed, F.M., Jones-Farmer, L.A., & Rigdon, S.E. GitHub Repo: basemodels.
Others
(2024) Editorial advice for selecting an open-source license for your next paper: Navigating copyrights for publicly facing AI chatbots. Jones-Farmer, L. A., Megahed, F. M., Chen, Y. J., Zwetsloot, I., Knoth, S., Montgomery, D. C., & Capizzi, G. Journal of Quality Technology, 56(5), 468–473. DOI: 10.1080/00224065.2024.2391682,
(2024) Comparing Classifier Performance with Baselines. Megahed, F. M., Chen, Y. J., Jones-Farmer, L. A., Rigdon S. E., Altman, N., & Krzywinski, M. (Invited column). Nature methods. DOI: 10.1038/s41592-024-02234-5 (Supplementary Materials, Web App),
(2023) U.S. Violent Manner of Death Mortality by Race and Ethnicity: A Mortality Study, by Miljkovic, T. & Chen, Y. J. (Research Report). Society of Actuaries Research Institute.
(2021) The Class Imbalance Problem, by Megahed, F. M., Chen, Y. J., Megahed, A., Ong, Y., Altman, N., & Krzywinski, M. (Invited column). Nature Methods. 18(11), 1270-1272. DOI: 10.1038/s41592-021-01302-4 (Supplementary Materials).
Under Review Articles
(2025) Adapting OpenAI's CLIP Model for Few-Shot Image Inspection in Manufacturing Quality Control: An Expository Case Study with Multiple Application Examples, by Megahed, F. M., Chen, Y. J., Colosimo, B. M., Grasso, M., Jones-Farmer, L. A., Knoth, S., Sun, H., & Zwetsloot, I. arXiv: http://arxiv.org/abs/2501.12596
(2025) Reliable Decision Support with LLMs: A Framework for Evaluating Consistency in Binary Text Classification Applications, by Megahed, F. M., Chen, Y. J., Jones-Farmer, L. A., Lee, Y., Wang, J. B., & Zwetsloot, I. M. arXiv: http://arxiv.org/abs/2505.14918
(2025) ChatISA: A Prompt-Engineered, In-House Multi-Modal Generative AI System for Information Systems Education, by Megahed, F. M., Chen, Y. J., Ferris, J.A., Resatar C., Ross K., Lee, Y., & Jones-Farmer, L. A. arXiv: http://arxiv.org/abs/2407.15010
(2025) Flexible Modeling of Multivariate Skewed and Heavy-Tailed Data via a Non-Central Skew t Distribution: Application to Tumor Shape Data, by Hasan, A. & Chen, Y. J. arXiv: https://arxiv.org/abs/2507.10465
(2025) Two-Stage Control Charts for Monitoring Correlated Quality Variables with a Bivariate Skew-Normal Framework. Computers & Industrial Engineering, by Su, N. C., Chen, Y. J., & Huang, W. H.
