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Browsing Discussion papers of interdisciplinary research project 373 / Sonderforschungsbereich 373 by Author 
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Browsing Discussion papers of interdisciplinary research project 373 / Sonderforschungsbereich 373 by Author 
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  • Schriftenreihen und Sammelbände
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  • Wirtschaftswissenschaftliche Fakultät
  • Discussion papers of interdisciplinary research project 373 / Sonderforschungsbereich 373
  • Browsing Discussion papers of interdisciplinary research project 373 / Sonderforschungsbereich 373 by Author
  • edoc-Server Home
  • Schriftenreihen und Sammelbände
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  • Discussion papers of interdisciplinary research project 373 / Sonderforschungsbereich 373
  • Browsing Discussion papers of interdisciplinary research project 373 / Sonderforschungsbereich 373 by Author

Browsing Discussion papers of interdisciplinary research project 373 / Sonderforschungsbereich 373 by Author "Reiß, Markus"

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    • 2005-10-20Buch
      A Note on Optimal Stopping in Models with Delay 
      Gapeev, Pavel V.; Reiß, Markus
      We consider an optimal stopping problem in a certain model described by a stochastic delay differential equation. We reduce the initial problem to a free-boundary problem of parabolic type and prove the corresponding ...
    • 2005-10-13Buch
      Adaptive estimation for affine stochastic delay differential equations 
      Reiß, Markus
    • 2002-05-14Buch
      Adaptive wavelet Galerkin methods for linear inverse problems 
      Cohen, Albert; Hoffmann, Marc; Reiß, Markus
    • 2000-09-07Buch
      Minimax rates for nonparametric estimation of the drift functional in affine stochastic delay equations 
      Reiß, Markus
    • 2002-06-25Buch
      Nonparametric estimation of scalar diffusions based on low frequency data is ill-posed 
      Gobet, Emmanuel; Hoffmann, Marc; Reiß, Markus
    • 2003-04-08Buch
      Transitional Dynamics in the Uzawa-Lucas Model of Endogenous Growth 
      Bethmann, Dirk; Reiß, Markus
      We introduce an easy way of analyzing the transitional dynamics of the Uzawa-Lucas endogenous growth model. We use the value function approach to solve both the social planner’s optimization problem and the representative ...
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