IDEAS home Printed from https://ideas.repec.org/p/boc/usug17/13.html
   My bibliography  Save this paper

Fitting Bayesian regression models using the bayes prefix

Author

Listed:
  • Yulia Marchenko

    (StataCorp LP)

Abstract

Stata 15 introduces the new bayes prefix for fitting Bayesian regression models more easily. It combines Bayesian features with Stata's intuitive and elegant specification of regression models. For example, you fit classical linear regression by using . regress y x1 x2 You can now fit Bayesian linear regression by using . bayes: regress y x1 x2 In addition to normal linear regression, the bayes prefix supports over 50 likelihood models including models for continuous, binary, ordinal, categorical, count, censored, survival outcomes, and more. All of Stata's Bayesian features are supported with the bayes prefix. In my presentation, I will demonstrate how to use the new bayes prefix to fit a variety of Bayesian regression models including survival and sample-selection models.

Suggested Citation

  • Yulia Marchenko, 2017. "Fitting Bayesian regression models using the bayes prefix," United Kingdom Stata Users' Group Meetings 2017 13, Stata Users Group.
    • Handle: RePEc:boc:usug17:13
    as

    Download full text from publisher

    File URL: http://repec.org/usug2017/uk17_Marchenko.pdf
    Download Restriction: no
    ---><---

    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:boc:usug17:13. 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: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/stataea.html .

    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.