Optimal Designs for Functional Principal and Empirical Component Scores
Kao, M.-H., & Huang, P.-H. (2025). Statistica Sinica, 35, 1-24. DOI
Develops efficient design methods for learning from dynamic data when measurement opportunities are limited.
Publications
Research Contributions in Optimal Design, Adaptive Decision-Making, and Applied Analytics
Refereed Journal Articles
Hybrid Exact-approximate Design Approach for Sparse Functional Data
Kao, M.-H., & Huang, P.-H. (2024). Computational Statistics & Data Analysis, 190, 107850. DOI
Connects computational efficiency and design quality for data collection under constraints.
Leveraging Comparative Phylogenetics for Evolutionary Medicine: Applications to Comparative Oncology
Mellon, W. J., Sterner, B., Ågren, J. A., Vincze, O., Marx, M. T., Kapsetaki, S. E., Huang, P.-H., Yavari, B., McCollum, H. W., Natterson-Horowitz, B., et al. Evolution, Medicine, and Public Health. Accepted. DOI
Manuscripts Under Review
New Pilot-Study Design in Functional Data Analysis with Application to a Longitudinal Biological Study
Huang, P.-H., & Kao, M.-H. Journal of the Royal Statistical Society: Series C (Applied Statistics). Minor revision.
Optimal Next-stage Designs for Sparse Functional/Longitudinal Data
Kao, M.-H., Aller, A. V., & Huang, P.-H. Computational Statistics & Data Analysis. Under review.
Bayesian Approach for Adaptive Decision-Making
Huang, P.-H. & Zhou, S. AISTATS. Under review.
Selected Conference Presentations
Bayesian Sequential Approach for AI Adaptive Decision-Making
Huang, P.-H. & Zhou, S. INFORMS Workshop on Data Science, Atlanta, USA, 2025.
Bayesian Sequential Batch Design in Functional Data
Huang, P.-H., Zhou, S., & Kao, M.-H. Joint Mathematics Meetings, Seattle, USA, January 2025.
New Pilot Study Designs on Functional Data Analysis
Huang, P.-H., & Kao, M.-H. WNAR / IMS / Graybill Annual Meeting, Colorado, USA, June 2024.
Pilot Study Designs for Sparse Functional Data
Huang, P.-H., & Kao, M.-H. CMStatistics, London, UK, December 2022.