Grantee Research Project Results
Selected Publications Details for Grant Number R828207
Computational Requirements of Statistical Learning within a Decision-Making Framework for Sustainable Technology.
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Reference Type | Citation | Progress Report Year | Document Sources |
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Book Chapter | Chen VCP, Tsui K-L, Barton RR, Allen JK. A review of design and modeling in computer experiments. In: Khattree R, Rao CR, eds. Handbook of Statistics, Volume 22, Part 1, Chapter 7. St. Louis, MO: Elsevier, 2003, pp. 231-261. |
R828207 (2002) R828207 (2003) R828207 (Final) |
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Book Chapter | Chen VCP, Gunther D, Johnson EL. Routing considerations in airline yield management. In: Ciriani T, Fasano G, Gliozzi S, Tadei R, eds. Operations Research in Space and Air, Applied Optimization Book Series, Volume 79. Boston, MA: Springer, 2003, Chapter 17, pp. 333-350. |
R828207 (Final) |
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Book Chapter | Tsui K-L, Chen V, Jiang W, Aslandogan YA. Data mining methods and applications. In: Pham H, ed. Handbook of Engineering Statistics. London: Springer-Verlag, 2006, pp. 651-652. |
R828207 (2004) R828207 (Final) |
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Journal Article | Cervellera C, Chen VCP, Wen A. Optimization of a large-scale water reservoir network by stochastic dynamic programming with efficient state space discretization. European Journal of Operational Research 2006;171(3):1139-1151. |
R828207 (2002) R828207 (2003) R828207 (Final) |
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Journal Article | Cervellera C, Wen A, Chen VCP. Neural network and regression spline value function approximations for stochastic dynamic programming. Computers & Operations Research 2007;34(1):70-90. |
R828207 (Final) |
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Journal Article | Cervellera C, Wen AH, Chen VCP. Neural network and regression spline value function approximations for stochastic dynamic programming.. Technometrics. . |
R828207 (2002) |
not available |
Journal Article | Chen VCP. Measuring the goodness of orthogonal array discretizations for stochastic programming and stochastic dynamic programming. SIAM Journal on Optimization 2002;12(2):322-344. |
R828207 (Final) |
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Journal Article | Chen VCP, Gunnther D, Johnson EL. Solving for an optimal airline yield management policy via statistical learning. Journal of the Royal Statistical Society: Series C (Applied Statistics) 2003;52(1):19-30. |
R828207 (Final) |
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Journal Article | Chen VCP, Tsui K-L, Barton RR, Meckesheimer M. A review on design, modeling and applications of computer experiments. IIE Transactions 2006;38(4):273-291. |
R828207 (Final) |
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Journal Article | Tsai JCC, Chen VCP, Chen J, Beck MB, Chen J. Stochastic dynamic programming formulation for a wastewater treatment decision-making framework. Annals of Operations Research 2004;132(1-4):207-221 (Special Issue entitled CUSTOM [Center for Uncertain Systems:Tools for Optimization and Management] Conference on Applied Optimization under Uncertainty). |
R828207 (2002) R828207 (2003) R828207 (Final) |
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Journal Article | Tsai JCC, Chen VCP, Lee EK, Johnson EL. Parallelization of the MARS value function approximation in a decision-making framework for wastewater treatment. Journal of Statistical Computation and Simulation. |
R828207 (2002) R828207 (2003) |
not available |
Journal Article | Tsai JCC, Chen VCP. Flexible and robust implementations of multivariate adaptive regression splines within a wastewater treatment stochastic dynamic program. Quality and Reliability Engineering International 2005;21(7):689-699. |
R828207 (2003) R828207 (Final) |
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Journal Article | Yang Z, Chen VCP, Chang ME, Murphy TE, Tsai JCC. Mining and modeling for a metropolitan Atlanta ozone pollution decision-making framework. IIE Transactions 2007;39(6):607-615. |
R828207 (Final) |
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Journal Article | Yang Z, Chen VCP, Chang ME, Sattler ML, Wen A. A decision-making framework for ozone pollution control. Operations Research 2009;57(2):484-498. |
R828207 (Final) |
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Report | Cervellera C, Wen AH, Chen VCP. Neural Network and Regression Spline Value Function Approximations for Stochastic Dynamic Programming. COSMOS Technical Report 04-05, 27 pp., 2004. |
R828207 (Final) |
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Report | Tsai JCC, Chen VCP, Lee EK, Johnson EL. Parallelization of the MARS value function approximation in a decision-making framework for wastewater treatment. Arlington, TX: University of Texas, Arlington, Center on Stochastic Modeling, Optimization, & Statistics, COSMOS Technical Report 03-02, 2006. |
R828207 (Final) |
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The perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Conclusions drawn by the principal investigators have not been reviewed by the Agency.