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Factorisable sparse tail event curves with expectiles

Author

Listed:
  • Härdle, Wolfgang Karl
  • Huang, Chen
  • Chao, Shih-Kang

Abstract

No abstract is available for this item.

Suggested Citation

  • Härdle, Wolfgang Karl & Huang, Chen & Chao, Shih-Kang, 2016. "Factorisable sparse tail event curves with expectiles," SFB 649 Discussion Papers 2016-018, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  • Handle: RePEc:zbw:sfb649:sfb649dp2016-018
    Note: Oberwolfach Report: New Developments in Functional and Highly Multivariate Statistical Methodology
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    More about this item

    Keywords

    multivariate functional data; high-dimensional M-estimators; nuclear norm regularizer; factor analysis; expectile regression; fMRI; risk perception;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D87 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Neuroeconomics

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