A probability metrics approach for reducing the bias of optimality gap estimators in two-stage stochastic linear programming. Stockbridge, R. & Bayraksan, G. Math. Program., 142(1-2):107-131, 2013.
A probability metrics approach for reducing the bias of optimality gap estimators in two-stage stochastic linear programming. [link]Link  A probability metrics approach for reducing the bias of optimality gap estimators in two-stage stochastic linear programming. [link]Paper  bibtex   
@article{journals/mp/StockbridgeB13,
  added-at = {2018-11-14T00:00:00.000+0100},
  author = {Stockbridge, Rebecca and Bayraksan, Güzin},
  biburl = {https://www.bibsonomy.org/bibtex/2d92748ecea5c59f79cb016021c047609/dblp},
  ee = {https://www.wikidata.org/entity/Q57500082},
  interhash = {7f0eda52a67e268fc3fd821427ca8b1b},
  intrahash = {d92748ecea5c59f79cb016021c047609},
  journal = {Math. Program.},
  keywords = {dblp},
  number = {1-2},
  pages = {107-131},
  timestamp = {2018-11-15T13:37:27.000+0100},
  title = {A probability metrics approach for reducing the bias of optimality gap estimators in two-stage stochastic linear programming.},
  url = {http://dblp.uni-trier.de/db/journals/mp/mp142.html#StockbridgeB13},
  volume = 142,
  year = 2013
}

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