IDEAS home Printed from https://ideas.repec.org/a/wly/apsmbi/v36y2020i4p541-544.html
   My bibliography  Save this article

Discussion of “Machine learning applications in nonlife insurance”

Author

Listed:
  • Tahir Ekin

Abstract

No abstract is available for this item.

Suggested Citation

  • Tahir Ekin, 2020. "Discussion of “Machine learning applications in nonlife insurance”," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 36(4), pages 541-544, July.
    • Handle: RePEc:wly:apsmbi:v:36:y:2020:i:4:p:541-544
    DOI: 10.1002/asmb.2558
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asmb.2558
    Download Restriction: no
    File URL: https://libkey.io/10.1002/asmb.2558?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Robin L. Dillon & Catherine H. Tinsley, 2008. "How Near-Misses Influence Decision Making Under Risk: A Missed Opportunity for Learning," Management Science, INFORMS, vol. 54(8), pages 1425-1440, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Peter Madsen & Robin L. Dillon & Catherine H. Tinsley, 2016. "Airline Safety Improvement Through Experience with Near‐Misses: A Cautionary Tale," Risk Analysis, John Wiley & Sons, vol. 36(5), pages 1054-1066, May.
    2. Robin L. Dillon & William J. Burns & Richard S. John, 2018. "Insights for Critical Alarm-Based Warning Systems from a Risk Analysis of Commercial Aviation Passenger Screening," Decision Analysis, INFORMS, vol. 15(3), pages 154-173, September.
    3. Alexa Tanner & Ryan Reynolds, 2020. "The near-miss of a tsunami and an emergency evacuation: the post-exposure effects on future emergency preparedness and evacuation intentions," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(2), pages 1679-1693, November.
    4. Fariborz Farahmand & Eugene H. Spafford, 2013. "Understanding insiders: An analysis of risk-taking behavior," Information Systems Frontiers, Springer, vol. 15(1), pages 5-15, March.
    5. Heinrich, Timo & Seifert, Matthias & Then, Franziska, 2020. "Near-losses in insurance markets: An experiment," Economics Letters, Elsevier, vol. 186(C).
    6. John McClure & David Johnston & Liv Henrich & Taciano Milfont & Julia Becker, 2015. "When a hazard occurs where it is not expected: risk judgments about different regions after the Christchurch earthquakes," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(1), pages 635-652, January.
    7. Jifan Zhang & Salih Tutun & Samira Fazel Anvaryazdi & Mohammadhossein Amini & Durai Sundaramoorthi & Hema Sundaramoorthi, 2024. "Management of resource sharing in emergency response using data-driven analytics," Annals of Operations Research, Springer, vol. 339(1), pages 663-692, August.
    8. Liu, Hui & Su, Bingbing & Guo, Min & Wang, Jingbei, 2024. "Exploring R&D network resilience under risk propagation: An organizational learning perspective," International Journal of Production Economics, Elsevier, vol. 273(C).
    9. Claus Rerup, 2009. "Attentional Triangulation: Learning from Unexpected Rare Crises," Organization Science, INFORMS, vol. 20(5), pages 876-893, October.
    10. Christine Choirat & Daniela Di Cagno & Arianna Galliera, 2015. "Gamblers or Investors? An Experiment on the Almost-Winning Outcome," Working Papers CESARE 8/2015, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    11. André Luis Silva & Márcia de Freitas Duarte & Flávia Plutarco, 2020. "Organizational Rare Events: Theory and Research Practice," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 72(4), pages 635-659, October.
    12. Anja Göritz & David Weiss, 2014. "Behavioral and emotional responses to escalating terrorism threat," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 13(2), pages 285-295, November.
    13. , Aisdl, 2020. "The Serendipity Mindset," OSF Preprints w52y9, Center for Open Science.
    14. Balzano, Marco & Marzi, Giacomo, 2023. "Exploring the pathways of learning from project failure and success in new product development teams," Technovation, Elsevier, vol. 128(C).
    15. James A. Sundali & Amanda H. Safford & Rachel Croson, 2012. "The impact of near-miss events on betting behavior: An examination of casino rapid roulette play," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 7(6), pages 768-778, November.
    16. Khakzad, Nima & Khan, Faisal & Paltrinieri, Nicola, 2014. "On the application of near accident data to risk analysis of major accidents," Reliability Engineering and System Safety, Elsevier, vol. 126(C), pages 116-125.
    17. , Aisdl, 2020. "Becoming Attuned," OSF Preprints j7f8y, Center for Open Science.
    18. Jinshu Cui & Heather Rosoff & Richard S. John, 2017. "A Polytomous Item Response Theory Model for Measuring Near-Miss Appraisal as a Psychological Trait," Decision Analysis, INFORMS, vol. 14(2), pages 75-86, June.
    19. Nima Khakzad & Faisal Khan & Paul Amyotte, 2015. "Major Accidents (Gray Swans) Likelihood Modeling Using Accident Precursors and Approximate Reasoning," Risk Analysis, John Wiley & Sons, vol. 35(7), pages 1336-1347, July.
    20. Robin L. Dillon & Vicki M. Bier & Richard Sheffield John & Abdullah Althenayyan, 2023. "Closing the Gap Between Decision Analysis and Policy Analysts Before the Next Pandemic," Decision Analysis, INFORMS, vol. 20(2), pages 109-132, June.

    More about this item

    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:wly:apsmbi:v:36:y:2020:i:4:p:541-544. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1526-4025 .

    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.