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Grantee Research Project Results

Publications submitted after final report Details for Grant Number R828207

Computational Requirements of Statistical Learning within a Decision-Making Framework for Sustainable Technology.

RFA: Technology for a Sustainable Environment (1999)

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Book Chapter (1)
Journal Article (6)
Presentation (2)
Report (2)
Reference Type Citation Progress Report Year (Date Added to Report) Document Sources
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) (04/05/18)
  • Abstract: Springer-Abstract
    Exit
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) (04/05/18)
  • Full-text: Penn State University-Abstract and Full Text PDF
    Exit
  • Abstract: ScienceDirect-Abstract
    Exit
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) (04/06/18)
  • Abstract: SIAM-Abstract
    Exit
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) (04/06/18)
  • Abstract: Wiley-Abstract
    Exit
  • Other: Econ Papers-Abstract
    Exit
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) (04/06/18)
  • Abstract: Taylor&Francis-Abstract
    Exit
  • Other: Prepublication Full Text PDF
    Exit
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) (04/06/18)
  • Abstract: Taylor&Francis-Abstract
    Exit
  • Other: Prepublication Full Text PDF
    Exit
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) (04/06/18)
  • Full-text: SemanticScholar-Full Text PDF
    Exit
  • Abstract: Operations Research-Abstract
    Exit
Presentation Chen VCP, Yang Z, Chang M. A decision-making framework for studying ozone pollution in urban Atlanta. Presented at the 9th Annual Green Chemistry & Engineering Conference, Washington, DC, June 20-24, 2005. R828207 (Final) (05/23/11)
not available
Presentation Lin Y, Mistree F, Allen JK, Tsui K-L, Chen VCP. Sequential metamodeling in engineering design. Presented at the 10th Annual AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Albany, NY, August 30-September 1, 2004. R828207 (Final) (04/05/18)
not available
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) (01/04/07)
  • Full-text: University of Texas at Arlington PDF
    Exit
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) (04/05/18)
  • Full-text: SemanticScholar-Full-Text PDF
    Exit
  • Abstract: SemanticScholar-Abstract
    Exit
  • Other: ResearchGate-Abstract & Full Text-PDF
    Exit

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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.

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