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Stochastic algorithms in nonlinear regression

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  • Krivy, Ivan
  • Tvrdik, Josef
  • Krpec, Radek

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  • Krivy, Ivan & Tvrdik, Josef & Krpec, Radek, 2000. "Stochastic algorithms in nonlinear regression," Computational Statistics & Data Analysis, Elsevier, vol. 33(3), pages 277-290, May.
    • Handle: RePEc:eee:csdana:v:33:y:2000:i:3:p:277-290
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    Cited by:

    1. Jaromír Kukal & Tran Van Quang, 2011. "Modelování měnově politické úrokové míry ČNB neuronovými sítěmi [Modeling the CNB's Monetary Policy Interest Rate by Artificial Neural Networks]," Politická ekonomie, Prague University of Economics and Business, vol. 2011(6), pages 810-829.
    2. Ali, M.M., 2007. "Synthesis of the [beta]-distribution as an aid to stochastic global optimization," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 133-149, September.
    3. Satyajith Amaran & Nikolaos Sahinidis, 2012. "Global optimization of nonlinear least-squares problems by branch-and-bound and optimality constraints," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 20(1), pages 154-172, April.
    4. Remigijus Paulavičius & Julius Žilinskas, 2014. "Simplicial Lipschitz optimization without the Lipschitz constant," Journal of Global Optimization, Springer, vol. 59(1), pages 23-40, May.

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