IDEAS home Printed from https://ideas.repec.org/a/cup/polals/v27y2019i01p101-106_00.html
   My bibliography  Save this article

How Cross-Validation Can Go Wrong and What to Do About It

Author

Listed:
  • Neunhoeffer, Marcel
  • Sternberg, Sebastian

Abstract

No abstract is available for this item.

Suggested Citation

  • Neunhoeffer, Marcel & Sternberg, Sebastian, 2019. "How Cross-Validation Can Go Wrong and What to Do About It," Political Analysis, Cambridge University Press, vol. 27(1), pages 101-106, January.
    • Handle: RePEc:cup:polals:v:27:y:2019:i:01:p:101-106_00
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1047198718000396/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hofman, Jake M. & Goldstein, Daniel G. & Sen, Siddhartha & Poursabzi-Sangdeh, Forough & Allen, Jennifer & Dong, Ling Liang & Fried, Brenda & Gaur, Harpreet & Hoq, Adnan & Mbazor, Emeka & Moreira, Naom, 2021. "Expanding the scope of reproducibility research through data analysis replications," Organizational Behavior and Human Decision Processes, Elsevier, vol. 164(C), pages 192-202.
    2. Messner, Wolfgang, 2024. "Distance is the spice, but not the whole enchilada: Country-pair psychic distance stimuli and country fixed effects in a deep learning implementation of the trade flow model," International Business Review, Elsevier, vol. 33(1).
    3. Shu-Ling Lin & Xiao Jin, 2023. "Does ESG Predict Systemic Banking Crises? A Computational Economics Model of Early Warning Systems with Interpretable Multi-Variable LSTM based on Mixture Attention," Mathematics, MDPI, vol. 11(2), pages 1-15, January.
    4. Messner, Wolfgang, 2024. "Exploring multilevel data with deep learning and XAI: The effect of personal-care advertising spending on subjective happiness," International Business Review, Elsevier, vol. 33(1).
    5. Xianglong Liu, 2023. "Towards Better Banking Crisis Prediction: Could an Automatic Variable Selection Process Improve the Performance?," The Economic Record, The Economic Society of Australia, vol. 99(325), pages 288-312, June.

    More about this item

    Lists

    This item is featured on the following reading lists, Wikipedia, or ReplicationWiki pages:
    1. How Cross-Validation Can Go Wrong and What to Do About It (Political Analysis 2019) in ReplicationWiki

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cup:polals:v:27:y:2019:i:01:p:101-106_00. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/pan .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.