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  1. Suleiman, Ramzi [Other]; Troitzsch, Klaus G. [Other]; Gilbert, G. Nigel [Other]; Sûlaymān, Ramzî [Editor] ; Seminar on Social Science Microsimulation - Tools for Modeling, Parameter Optimization, and Sensitivity Analysis 1997 Dagstuhl

    Tools and techniques for social science simulation : [papers presented at an international seminar entitled "Social Science Microsimulation: Tools for Modeling, Parameter Optimization, and Sensitivity Analysis" ... held in May 5-9, 1997 at Schloss Dagstuhl, Germany]

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    Heidelberg; New York: Physica-Verl., 2000

  2. Chen, Hui [Author]; Didisheim, Antoine [Author]; Scheidegger, Simon [Author]

    Deep structural estimation: with an application to option pricing

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    Lausanne: Université de Lausanne, Faculté des hautes études commerciales (HEC), Département d'économie, [2021]

    Published in: Cahiers de recherches économiques ; 2021,14

  3. Koshiyama, Adriano [Author]; Blumberg, Stefano B. [Author]; Firoozye, Nikan B. [Author]; Treleaven, Philip C. [Author]; Flennerhag, Sebastian [Author]

    QuantNet : transferring learning across trading strategies

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    2022

    Published in: Quantitative finance ; 22(2022), 6, Seite 1071-1090

  4. Kim, Yongjin [Author]; Kuehn, Lars-Alexander [Author]; Li, Kai [Author]

    Learning about the consumption risk exposure of firms

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    2024

    Published in: Journal of financial economics ; 152(2024) vom: Feb., Artikel-ID 103759, Seite 1-21

  5. Gürtler, Marc [Author]; Zöllner, Marvin [Author]

    Heterogeneities among credit risk parameter distributions : the modality defines the best estimation method

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    2023

    Published in: OR spectrum ; 45(2023), 1 vom: März, Seite 251-287

  6. Kraul, Sebastian [Author]; Seizinger, Markus [Author]; Brunner, Jens O. [Author]

    Machine learning : supported prediction of dual variables for the cutting stock problem with an application in stabilized column generation

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    2023

    Published in: Institute for Operations Research and the Management Sciences: INFORMS journal on computing ; 35(2023), 3 vom: Mai/Juni, Seite 692-709

  7. Leippold, Markus [Author]; Yang, Hanlin [Author]

    Mixed-Frequency Predictive Regressions with Parameter Learning

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    [S.l.]: SSRN, [2023]

    Published in: Swiss Finance Institute Research Paper ; No. 23-39