Peng, T. H., Lin, C. C., Hsu, N. J., and Chen, C. S.* (2025), A Spatial Hierarchical PGEV Model with Temporal Effects for Enhancing Extreme Value Analysis. Environmetrics, 36:e70031.
Chiou, Y. H. and Chen, C. S.* (2025), A Frequentist Approach on Fixed Effects Estimation for Spatially Confounded Regression Models. Environmental and Ecological Statistics. Environmental and Ecological Statistics, 32, 523-555..
Chang, C. H.*, Huang, S. F., and Lo, Y. S. (2025). Boosted hybrid method for non-stationary data analysis. J. Chinese Stat. Assoc., Accepted.
Huang, S. F.*, He, Y. H., and Lu, Y. T. (2025). A clustering method based on feature segmentation and fusion. Submitted.
Ke, C. Y., Tsai, P. J., Chung, K. S., Chen, Y. L., and Liou, Y. C. (2025), Radar Wind Retrieval, Ensemble Simulations, and Cluster Analysis of a Heavy Rainfall Event over Northern Taiwan during 1–2 June 2017, Monthly Weather Review, 153, 617–635, https://doi.org/10.1175/MWR-D-24-0142.1
Lin, M.R., Chen, C. W., Gunsen, S., and Tzeng, S.*(2025), Radius Detecting of Spherical Data for Multidimensional Scaling. To Be Submitted.
Shen, C. W., Hsu, P. J., Hsu, C. M., and Chen, C. S.* (2026), Efficient Estimation for Flexible Spatial Zero-inflated Models with Environmental Applications. Revision.
Chiou, Y. H., Chen, C. S., and Huang, H. C.* (2026), Nonstationary Spatial Modeling and Estimation Using a Divide-and-Conquer Approach. Submitted.
Lee, W., Peng, T. H.*, and Chen, C. S. (2026), Efficient Bayesian Inference for Spatial Hierarchical PoT-GEV Models. Submitted.
Chiou, H. T., Dong, C. W, Lin, C. Y., Huang, S. F.* (2026). High-Impact Clustering Feature Selection via Unsupervised Learning and Multinomial Logistic Regression. Submitted.
Huang, S. F.*, Chiou, H. T., and Lu, Y. T. (2026), A Clustering Method Based on Feature Segmentation and Fusion. Under Revision.
Huang, S. H., Lin, J.C.-H., Tzeng, S.*, and Yuan, T. L. (2026), Spectral Properties of Spatial Basis Functions: Oscillation, Alternation, and Low-Rank Representations. Linear Algebra and its Applications. Submitted.
Tzeng, S. and Huang, M. T. (2026), Monte Carlo Comparison of Scalable Approximations for Generalized Gaussian Processes in Geostatistical Count Data. Journal of the Chinese Statistical Association. Under Review.
Yang, S.-K., K.-S. Chung*, C.-Y. Ke, C.-C. Tsai.(2026), Ensemble Sensitivity Analysis and k-Means Clustering of Intense Coastal Rainfall Dynamics During TAHOPE-IOP3. Terrestrial, Atmospheric and Oceanic Sciences. (In revision)