Bayesian Functional Data Clustering for Temporal Microarray Data

王婉倫、徐偉舜（2013）。Bayesian Inference for Mixtures of Common Factor Analyzers。智慧科技與應用統計學報，11(1)，1-24。https://www.airitilibrary.com/Article/Detail?DocID=1812433x-201306-201308260038-201308260038-1-24
Chen, T. Y. (2008). A Bayesian Approach to Step Function Regression with Data Dependent Error [master's thesis, National Central University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0031-0207200917353068
Chávez, M. E., Villalobos, E., Baroja, J. L., & Bouzas, A. (2017). Hierarchical Bayesian modeling of intertemporal choice. Judgment and Decision Making, 12(1), 19-28. https://www.airitilibrary.com/Article/Detail?DocID=19302975-201701-201702060028-201702060028-19-28
Branco, M. D., Bolfarine, H., Iglesias, P., & Valle, R. B. A. (2003). Bayesian and Classical Solutions for Binomial Cytogenetic Dosimetry Problem. Journal of Data Science, 1(1), 65-82. https://doi.org/10.6339/JDS.2003.01(1).112
Kuo, Y. H. (2008). Using Dynamic Template Based Clustering to Analyze Time Series Microarray Data [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2008.02901