Decision trees for heterogeneous dose-response signal analysis

2012 IEEE Statistical Signal Processing Workshop, SSP 2012

Volumn , Issue , 2012, Pages 904-907

  Varshney, Kush R ^a   Singh, Moninder ^a   Wang, Jun ^a  

^a IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

Business analytics; Cram r von Mises test; customer relationship management; decision tree; kernel regression

Indexed keywords

ALGORITHM PARTITION; BUSINESS ANALYTICS; BUSINESS PROBLEMS; CUSTOMER RELATIONSHIP MANAGEMENT; DECISION-TREE ALGORITHM; DOSE RESPONSE; FEATURE SPACE; KERNEL REGRESSION; SALES TEAMS; SPLITTING CRITERION;

SIGNAL PROCESSING; STATISTICAL TESTS; TREES (MATHEMATICS);

DECISION TREES;

EID: 84868241514     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SSP.2012.6319855     Document Type: Conference Paper

References (11)

1. K. Hirano and G. W. Imbens, "The propensity score with continuous treatments," in Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives: An Essential Journey with Donald Rubin's Statistical Family. Chichester, UK: Wiley, 2005, pp. 73-84.
2. C. A. Flores, "Estimation of dose-response functions and optimal doses with a continuous treatment," Dept. Econ., Univ. Miami, Coral Gables, FL, 2007.
3. R. K. Crump, V. J. Hotz, G. W. Imbens, and O. A. Mitnik, "Nonparametric tests for treatment effect heterogeneity," Rev. Econ. Stat., vol. 90, no. 3, pp. 389-405, Aug. 2008.
4. L. Breiman, J. H. Friedman, R. A. Olshen, and C. J. Stone, Classification and Regression Trees. Boca Raton, FL: Chapman & Hall, 1984.
5. E. A. Nadaraya, "On estimating regression," Theory Probab. Appl., vol. 9, no. 1, pp. 141-142, 1964.
6. G. S. Watson, "Smooth regression analysis," Sankhyā Ser. A, vol. 26, no. 4, pp. 359-372, Dec. 1964.
7. T. W. Anderson, "On the distribution of the two-sample Cramér-von Mises criterion," Ann. Math. Statist., vol. 33, no. 3, pp. 1148-1159, Sep. 1962.
8. N. Neumeyer and H. Dette, "Nonparametric comparison of regression curves: An empirical process approach," Ann. Stat., vol. 31, no. 3, pp. 880-920, Jun. 2003.
9. L. Torgo, "Functional models for regression tree leaves," in Proc. Int. Conf. Machine Learn., Nashville, TN, Jul. 1997, pp. 385-393.
10. A. W. Bowman and A. Azzalini, Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations. Oxford, UK: Oxford University Press, 1997.
11. E. Parzen, "On estimation of a probability density function and mode," Ann. Math. Stat., vol. 33, no. 3, pp. 1065-1075, Sep. 1962.