Papers

• W.-Y. Loh and Y.-S. Shih (1997). Split selection methods for classification trees . Statistica Sinica, vol. 7, pp. 815-840.
• Y.-S. Shih and W.-Y. Wu (1997). Studies on split selection methods for tree-structured regression . Journal of Chinese Statistical Association,, vol. 35, pp. 137-150.
• Y.-S. Shih (1999). Families of splitting criteria for classification trees. Statistics and Computing , vol. 9, pp. 309-315.
• T.-S. Lim, W.-Y. Loh, and Y.-S. Shih (2000). A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms. Machine Learning , vol. 40, pp. 203-228.
• Y.-S. Shih (2001). Selecting the best splits classification trees with categorical variables . Statistics and Probability Letters , vol. 54, pp. 341-345.
• S.-T. Chang and Y.-S. Shih (2002). Minimum description length and linear model selection . Journal of Chinese Statistical Association,, vol. 40, pp. 77-95.
• D.-S. Liu, Y.-S. Shih, C.-Y. Ni, D.-Y. Chiou, C.-L. Chung, and M.-L. Huang (2002). Influences of material source, wafer process and location on silicon die fracture strength . Experimental Techniques, , vol. 26, pp. 29--35.
• Y.-S. Shih (2004). A note on split selection bias in classification trees . Computational Statistics and Data Analysis, vol 45, pp. 457-466.
• Y.-S. Shih and H.-W. Tsai (2004). Variable selection bias in regression trees with constant fits . Computational Statistics and Data Analysis , vol. 45, pp. 595-607.
• G. S. Shieh, Y.-C. Jiang, and Y.-S. Shih (2006). Comparison of support vector machines to other classifiers using gene expression data . Communications in Statistics--Simulation and Computation, vol. 35, pp. 241-256.
• T.-H. Lee and Y.-S. Shih (2006). Unbiased variable selection for classification trees with multivariate responses . Computational Statistics and Data Analysis, vol. 51, pp. 659-667.
• W.-C. Hsiao and Y.-S. Shih (2007). Splitting variable selection for multivariate regression trees . Statistics and Probability Letters, vol 77, pp. 265-271.
• H. Kim, W.-Y. Loh, Y.-S. Shih, and P. Chaudhuri (2007). Visualizable and interpretable regression models with good prediction power . IIE Transactions, vol 39, pp. 565-579.