Grace Yi

Selected publications

• G. Y. Yi (2017). Statistical Analysis with Measurement Error or Misclassification: Strategy, Method and Application, 479 pages. Springer Science+Business Media LLC, New York.
• G. Y. Yi, A. Delaigle, and P. Gustafson (2021). Handbook of Measurement Error Models, 577 pages. Edited volume for Chapman & Hall/CRC, Boca Raton, FL.
• N. Reid, C. Varin, and G. Y. Yi (2024+). Likelihood and its Extensions. Chapman & Hall/CRC. To appear.
• Y. Bian∗, G. Y. Yi, and W. He (2024). A Unified Framework of Analyzing Missing Data with Regularized Likelihood. To appear in Computational Statistics and Data Analysis.
• Y. Sun∗∗ and G. Y. Yi (2024). Regression Learning with Limited Observations of Multivariate Responses and Features. The 2024 International Conference on Machine Learning (2024 ICML).
• Y. Khadem Charvadeh∗ and G. Y. Yi (2024). Q-Learning with Compound Outcome and Mixed Misclassification and Measurement Error in Covariates. To appear in Statistics in Biosciences.
• Y. Khadem Charvadeh∗ and G. Y. Yi (2024). Investigating Misclassification Effects on Optimizing Dynamic Treatment Regimes with Q-Learning. To appear in Statistics in Medicine.
• L.-P. Chen∗∗ and G. Y. Yi (2024). Censored Unbiased Boosting Estimation for Survival Data. To appear in Statistica Sinica.
• Y. Khadem Charvadeh∗ and G. Y. Yi (2024). Understanding Effective Virus Control Policies for COVID-19 with the Q-Learning Method. To appear in Statistics in Biosciences.
• Q. Zhang∗∗, G. Y. Yi, L.-P. Chen∗∗ and W. He (2023). Sentiment Analysis and Causal Learning of COVID-19 Tweets prior to the Rollout of Vaccines. PLOS ONE, 18(2): e0277878. https://doi.org/10.1371/journal.pone.0277878.