IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-99638-3_22.html
   My bibliography  Save this book chapter

An Application of the Tensor-Based Approach to Mortality Modeling

In: Mathematical and Statistical Methods for Actuarial Sciences and Finance

Author

Listed:
  • Giovanni Cardillo

    (Sapienza University, Department of Statistical Sciences)

  • Paolo Giordani

    (Sapienza University, Department of Statistical Sciences)

  • Susanna Levantesi

    (Sapienza University, Department of Statistical Sciences)

  • Andrea Nigri

    (Bocconi University, Department of Social and Political Sciences)

Abstract

With the increasing availability of temporal data, researchers often analyze information stored in matrices, in which entries are replicated on different occasions. Such multidimensional data can be stored in 3-way arrays or tensors to be analyzed. A collection of 3-way arrays can also be available leading to 4-way arrays. In this work, we apply a tensor-based method, the Tucker4, to mortality data provided by the World Health Organization, referred to 4 dimensions (causes of death, age groups, years, and countries) and organized in a 4-way array. We carry out the analysis on the total population. Our findings reveal some peculiar aspects of the mortality phenomenon.

Suggested Citation

  • Giovanni Cardillo & Paolo Giordani & Susanna Levantesi & Andrea Nigri, 2022. "An Application of the Tensor-Based Approach to Mortality Modeling," Springer Books, in: Marco Corazza & Cira Perna & Claudio Pizzi & Marilena Sibillo (ed.), Mathematical and Statistical Methods for Actuarial Sciences and Finance, pages 134-139, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-99638-3_22
    DOI: 10.1007/978-3-030-99638-3_22
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:sprchp:978-3-030-99638-3_22. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.