## 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 the 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 for 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 the 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. - L.-L. Chuang and Y.-S. Shih (2012). Approximated distributions
of the weighted sum of correlated chi-squared random
variables.
*Journal of Statistical Planning and Inference*, vol 142, pp. 457-472. - S.-F. Kuo and Y.-S. Shih
(2012).
Variable selection for functional density
trees.
*Journal of Applied Statistics*, vol 39, pp. 1387-1395. - Y.-H. Kung, C.-T. Lin and Y.-S. Shih
(2012).
Split variable selection for tree modeling on rank
data.
*Computational Statistics and Data Analysis*, vol 56, pp. 2830-2836. - H.-Y. Chang, Y.-S. Shih snd T.-J. Su
(2014).
Split selection methods for regression tree on detecting regional
economic convergence
.
*Journal of the Chinese Statistical Association,*, vol. 52, pp. 180-208. - K.-H Liu and Y.-S. Shih
(2015).
Score-scale decision tree for paired comparison data .
*Statistica Sinica*, in press.
Last modified March 20, 2015 |