Wei-Yin Loh's Publications

[1] W.-Y. Loh. Classification and regression tree methods. In F. Ruggeri, R. Kenett, and F. W. Faltin, editors, Encyclopedia of Statistics in Quality and Reliability, pages 315-323. Wiley, Chichester, UK, 2008. [ bib ]
[2] W.-Y. Loh. Regression by parts: Fitting visually interpretable models with GUIDE. In C. Chen, W. Härdle, and A. Unwin, editors, Handbook of Computational Statistics, pages 447-469. Springer, 2008. [ bib ]
[3] A. B. Kara, H. E. Hurlburt, and W.-Y. Loh. Which near-surface atmospheric variable drives air-sea temperature differences over the global ocean? J. Geophys. Res., 112:C05020, May 2007. [ bib | DOI ]
[4] H. Kim, W.-Y. Loh, Y.-S. Shih, and P. Chaudhuri. Visualizable and interpretable regression models with good prediction power. IIE Transactions, 39:565-579, 2007. [ bib ]
[5] Wei-Yin Loh, Chien-Wei Chen, and Wei Zheng. Extrapolation errors in linear model trees. ACM Trans. Knowl. Discov. Data, 1(2):6, 2007. [ bib | DOI ]
[6] W.-Y. Loh. Logistic regression tree analysis. In H. Pham, editor, Handbook of Engineering Statistics, pages 537-549. Springer, 2006. [ bib ]
[7] W.-Y. Loh. Box-Cox transformations - II. In S. Kotz, C. B. Read, N. Balakrishnan, and B. Vidakovic, editors, Encyclopedia of Statistical Sciences, volume 1, pages 637-644. Wiley, Hoboken, 2nd edition, 2006. [ bib ]
[8] W.-Y. Loh. Regression tree models for designed experiments. In J. Rojo, editor, The Second Erich L. Lehmann Symposium-Optimality, volume 49, pages 210-228. Institute of Mathematical Statistics Lecture Notes-Monograph Series, 2006. [ bib ]
[9] K. Cho and W.-Y. Loh. Bias and convergence rate of the coverage probability of prediction intervals in Box-Cox transformed linear models. Journal of Statistical Planning and Inference, 136:3614-3624, 2005. [ bib ]
[10] M. J. Lee, A. S. Hanna, and W.-Y. Loh. Decision tree approach to classify and quantify cumulative impact of change orders on productivity. Journal of Computing in Civil Engineering, 18:132-144, 2004. [ bib ]
[11] K.-Y. Chan and W.-Y. Loh. LOTUS: An algorithm for building accurate and comprehensible logistic regression trees. Journal of Computational and Graphical Statistics, 13:826-852, 2004. [ bib ]
[12] H. Kim and W.-Y. Loh. Classification trees with bivariate linear discriminant node models. Journal of Computational and Graphical Statistics, 12:512-530, 2003. [ bib ]
[13] W.-Y. Loh. Regression trees with unbiased variable selection and interaction detection. Statistica Sinica, 12:361-386, 2002. [ bib ]
[14] V. Ganti, J. Gehrke, R. Ramakrishnan, and W.-Y. Loh. A framework for measuring differences in data characteristics. Journal of Computer and System Sciences, 64:542-578, 2002. [ bib ]
[15] P. Chaudhuri and W.-Y. Loh. Nonparametric estimation of conditional quantiles using quantile regression trees. Bernoulli, 8:561-576, 2002. [ bib ]
[16] K. Cho, I. Yeo, R. A. Johnson, and W.-Y. Loh. Asymptotic theory for box-cox transformations in linear models. Statistics and Probability Letters, 51:337-343, 2001. [ bib ]
[17] K. Cho, I. Yeo, R. A. Johnson, and W.-Y. Loh. Prediction interval estimation in transformed linear models. Statistics and Probability Letters, 51:345-350, 2001. [ bib ]
[18] H. Kim and W.-Y. Loh. Classification trees with unbiased multiway splits. Journal of the American Statistical Association, 96:589-604, 2001. [ bib ]
[19] T.-S. Lim, W.-Y. Loh, and Y.-S. Shih. A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms. Machine Learning Journal, 40:203-228, 2000. [ bib ]
[20] J. Gehrke, V. Ganti, R. Ramakrishnan, and W.-Y. Loh. BOAT-Optimistic decision tree construction. In A. Delis, C. Faloutsos, and S. Ghandeharizadeh, editors, SIGMOD 1999, Proceedings ACM SIGMOD International Conference on Management of Data, June 1-3, 1999, Philadelphia, Pennsylvania, USA, pages 169-180. ACM Press, 1999. [ bib ]
[21] V. Ganti, J. Gehrke, R. Ramakrishnan, and W.-Y. Loh. A framework for measuring changes in data characteristics. In Proceedings of the Eighteenth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, May 31-June 2, 1999, Philadelphia, Pennsylvania, pages 126-137. ACM Press, 1999. [ bib ]
[22] W.-Y. Loh and Y.-S. Shih. Split selection methods for classification trees. Statistica Sinica, 7:815-840, 1997. [ bib ]
[23] X. Zheng and W.-Y. Loh. A consistent variable selection criterion for linear models with high-dimensional covariates. Statistica Sinica, 7:311-325, 1997. [ bib ]
[24] T.-S. Lim and W.-Y. Loh. A comparison of tests of equality of variances. Computational Statistics and Data Analysis, 22:287-301, 1996. [ bib ]
[25] P. Chaudhuri, W.-D. Lo, W.-Y. Loh, and C.-C. Yang. Generalized regression trees. Statistica Sinica, 5:641-666, 1995. [ bib ]
[26] X. Zheng and W.-Y. Loh. Bootstrapping binomial confidence intervals. Journal of Statistical Planning and Inference, 43:355-380, 1995. [ bib ]
[27] X. Zheng and W.-Y. Loh. Consistent variable selection in linear models. Journal of the American Statistical Association, 90:151-156, 1995. [ bib ]
[28] H. Ahn and W.-Y. Loh. Tree-structured proportional hazards regression modeling. Biometrics, 50:471-485, 1994. [ bib ]
[29] P. Chaudhuri, M.-C. Huang, W.-Y. Loh, and R. Yao. Piecewise-polynomial regression trees. Statistica Sinica, 4:143-167, 1994. [ bib ]
[30] W.-Y. Loh and X. Zheng. Bias and variance reduction in estimation of model dimension. Proceedings of the American Mathematical Society, 122:1263-1272, 1994. [ bib ]
[31] W.-Y. Loh and X. Yu. Bounds on the size of the likelihood ratio test of independence in a contingency table. Journal of Multivariate Analysis, 45:291-304, 1993. [ bib ]
[32] H. Chen and W.-Y. Loh. Bounds on AREs of tests following Box-Cox transformations. Annals of Statistics, 20:1485-1500, 1992. [ bib ]
[33] P. Qu and W-Y. Loh. Application of Box-Cox transformations to discrimination for the two-class problem. Communications in Statistics (Theory and Methods), 21:2757-2774, 1992. [ bib ]
[34] W.-Y. Loh. Review of Fang, Kotz, and Ng: Symmetric Multivariate and Related Distributions. Technometrics, 34:235, 1992. [ bib ]
[35] W.-Y. Loh. Identification of active contrasts in unreplicated factorial experiments. Computational Statistics and Data Analysis, 14:135-148, 1992. [ bib ]
[36] H. Chen and W.-Y. Loh. Consistency of the bootstrap for the transformed two-sample t-test. Communications in Statistics (Theory and Methods), 20:997-1014, 1991. [ bib ]
[37] W.-Y. Loh. Bootstrap calibration for confidence interval construction and selection. Statistica Sinica, 1:477-491, 1991. [ bib ]
[38] W.-Y. Loh. Survival modeling through recursive stratification. Computational Statistics and Data Analysis, 12:295-313, 1991. [ bib ]
[39] H. Chen and W.-Y. Loh. Uniform robustness against nonnormality of the t and F tests. Communications in Statistics (Theory and Methods), 19:3707-3727, 1990. [ bib ]
[40] E. L. Lehmann and W.-Y. Loh. Pointwise versus uniform robustness of some large-sample tests and confidence intervals. Scandinavian Journal of Statistics, 17:177-187, 1990. [ bib ]
[41] E. Kademan, W.-Y. Loh, and N. Vanichsetakul. An improved version of FACT with S front-end. American Statistician, 43:273, 1989. [ bib ]
[42] W.-Y. Loh. Bounds on the size of the χ2-test of independence in a contingency table. Annals of Statistics, 17:1709-1722, 1989. [ bib ]
[43] W. H. Wolberg, M. A. Tanner, and W.-Y. Loh. Fine needle aspiration for breast mass diagnosis. Archives of Surgery, 124:814-818, 1989. [ bib ]
[44] W.-Y. Loh. Discussion of Hall: Theoretical comparison of bootstrap confidence intervals. Annals of Statistics, 16:972-976, 1988. [ bib ]
[45] W.-Y. Loh. Review of Meulman: A Distance Approach to Nonlinear Multivariate Analysis. Journal of the American Statistical Association, 83:913, 1988. [ bib ]
[46] W.-Y. Loh and N. Vanichsetakul. Tree-structured classification via generalized discriminant analysis (with discussion). Journal of the American Statistical Association, 83:715-728, 1988. [ bib ]
[47] W. H. Wolberg, M. A. Tanner, and W.-Y. Loh. Diagnostic schemes for fine needle aspirates of breast masses. Analytical and Quantitative Cytology and Histology, 10:225-228, 1988. [ bib ]
[48] W.-Y. Loh. Calibrating confidence coefficients. Journal of the American Statistical Association, 82:155-162, 1987. [ bib ]
[49] W.-Y. Loh. Does the correlation coefficient really measure the degree of clustering around a line? Journal of Educational Statistics, 12:235-239, 1987. [ bib ]
[50] W.-Y. Loh. Some modifications of Levene's test of variance homogeneity. Journal of Statistical Computation and Simulation, 28:213-226, 1987. [ bib ]
[51] W.-Y. Loh and C. F. J. Wu. Discussion of Efron: Better bootstrap confidence intervals. Journal of the American Statistical Association, 82:188-190, 1987. [ bib ]
[52] W. H. Wolberg, M. A. Tanner, W.-Y. Loh, and N. Vanichsetakul. Statistical approach to fine needle aspiration diagnosis of breast masses. Acta Cytologica, 31:737-741, 1987. [ bib ]
[53] W.-Y. Loh. Testing multivariate normality by simulation. Journal of Statistical Computation and Simulation, 26:243-252, 1986. [ bib ]
[54] W.-Y. Loh. Improved estimators for ratios of variance components. Journal of the American Statistical Association, 81:699-702, 1986. [ bib ]
[55] W.-Y. Loh. The Cauchy mean value property for M-estimates. Journal of Statistical Planning and Inference, 12:265-267, 1985. [ bib ]
[56] W.-Y. Loh. A note on the geometry of Kullback-Leibler information numbers. Communications in Statistics (Theory and Methods), 14:895-904, 1985. [ bib ]
[57] W.-Y. Loh. A new method for testing separate families of hypotheses. Journal of the American Statistical Association, 80:362-368, 1985. [ bib ]
[58] W.-Y. Loh. Bounds on AREs for restricted classes of distributions defined via tail-orderings. Annals of Statistics, 12:685-701, 1984. [ bib ]
[59] W.-Y. Loh. Estimating an endpoint of a distribution with resampling methods. Annals of Statistics, 12:1543-1550, 1984. [ bib ]
[60] W.-Y. Loh. A new generalization of the class of NBU distributions. IEEE Transactions on Reliability, R-33:419-422, 1984. [ bib ]
[61] W.-Y. Loh. Random quotients and robust estimation. Communications in Statistics (Theory and Methods), 13:2757-2769, 1984. [ bib ]
[62] W.-Y. Loh. Partially adaptive robust estimators of location via exponential embedding. Communications in Statistics (Theory and Methods), 13:2549-2570, 1984. [ bib ]
[63] W.-Y. Loh. Strong unimodality and scale mixtures. Annals of the Institute of Statistical Mathematics, 36:441-449, 1984. [ bib ]

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