Page 356 - Special Topic Session (STS) - Volume 2
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STS498 Wei-Yin L.
                  4.  Conclusion
                     Additional literature for GUIDE and its software and user manual may be
                  obtained from www.stat.wisc.edu/~loh/guide.html.

                  References
                  1.  Bureau of Labor Statistics (2016). Handbook of Methods, Consumer
                      Expenditures and Income. U.S. Department of Labor.
                      https://www.bls.gov/opub/hom/cex/pdf/cex.pdf.
                  2.  Lim, T.-S., 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 Journal 40, 203–228.
                  3.  Loh, W.-Y. (2002). Regression trees with unbiased variable selection and
                      interaction detection. Statistica Sinica 12, 361–386.
                  4.  Loh, W.-Y. (2009). Improving the precision of classification trees. Annals
                      of Applied Statistics 3, 1710–1737.
                  5.  Loh, W.-Y. (2014). Fifty years of classification and regression trees (with
                      discussion). Inter-national Statistical Review 34, 329–370.
                  6.  Loh, W.-Y., J. Eltinge, M. J. Cho, and Y. Li (2019). Classification and
                      regression trees and forests for incomplete data from sample surveys.
                      Statistica Sinica 29, 431–453.









































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