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A convergent algorithm for a generalized multivariate isotonic regression problem


  • Jürgen Hansohm


  • Xiaomi Hu


No abstract is available for this item.

Suggested Citation

  • Jürgen Hansohm & Xiaomi Hu, 2012. "A convergent algorithm for a generalized multivariate isotonic regression problem," Statistical Papers, Springer, vol. 53(1), pages 107-115, February.
  • Handle: RePEc:spr:stpapr:v:53:y:2012:i:1:p:107-115
    DOI: 10.1007/s00362-010-0317-6

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    References listed on IDEAS

    1. Hansohm, Jürgen, 2007. "Algorithms and error estimations for monotone regression on partially preordered sets," Journal of Multivariate Analysis, Elsevier, vol. 98(5), pages 1043-1050, May.
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    Cited by:

    1. Keshvari, Abolfazl & Kuosmanen, Timo, 2013. "Stochastic non-convex envelopment of data: Applying isotonic regression to frontier estimation," European Journal of Operational Research, Elsevier, vol. 231(2), pages 481-491.
    2. Wojciech Gamrot, 2013. "Maximum likelihood estimation for ordered expectations of correlated binary variables," Statistical Papers, Springer, vol. 54(3), pages 727-739, August.


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