Advanced Search
MyIDEAS: Login to save this article or follow this journal

A Comparison of Classical and Bayesian Probability and Statitics (2)

Contents:

Author Info

  • Petr Hebák
Registered author(s):

    Abstract

    Statistics has been developing for almost 250 years - since the publication of an essay which included one theorem called Bayes´ after the author. This whole period (since 1763 to this day) has been accompanied by a duel between the supporters of a subjective concept of probability and those who refuse everything but a purely objective concept of probability as well as statistics. While the 18th and 19th centuries accepted the importance of the subjective (let us say Bayesian) way of thinking for the development of probability and statistics without a problem, in the 20th century the classic (frequentist) way took over and has been dominant in teaching and textbooks to this day. Only in the second half of the 20th century did the situation begin to change slowly. Reasons for that are partly described in the present article, but arguments and simple examples supporting the Bayesian way in comparison with the classic one are clear and generally respected worldwide. Unsuspected new computing possibilities have caused an explosive development of Bayesian statistics, which has infiltrated almost all the areas of statistics and a number of other scientific fields. It is not possible to expect a retreat of the different philosophical or pedagogical positions of the fighting schools of thought (even though it is really needed), but the use of advantages of both the approaches is methodologically not only possible, but even expected. Part of the teaching of statistics must be prepared for these changes, but it has not been the case in the Czech Republic at all so far.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://www.vse.cz/polek/download.php?jnl=aop&pdf=365.pdf
    Download Restriction: free of charge, full text delayed 3 months

    File URL: http://www.vse.cz/aop/abstrakt.php?IDcl=365
    Download Restriction: free of charge, full text delayed 3 months

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Bibliographic Info

    Article provided by University of Economics, Prague in its journal Acta Oeconomica Pragensia.

    Volume (Year): 2012 (2012)
    Issue (Month): 2 ()
    Pages: 77-92

    as in new window
    Handle: RePEc:prg:jnlaop:v:2012:y:2012:i:2:id:365:p:77-92

    Contact details of provider:
    Postal: nam. W. Churchilla 4, 130 67 Praha 3
    Phone: (02) 24 09 51 11
    Fax: (02) 24 22 06 57
    Web page: http://www.vse.cz/
    More information through EDIRC

    Order Information:
    Postal: Redakce Acta Oeconomica Pragensia, Vysoká škola ekonomická v Praze, nám. W. Churchilla 4, 130 67 Praha 3
    Email:
    Web: http://www.vse.cz/aop/

    Related research

    Keywords: subjective probability; prior and posterior distribution; point estimation; hypothesis testing; frequentist statistics; classical and Bayesian approach and thinking; Bayes´ theorem; Bayesian Credible interval;

    Find related papers by JEL classification:

    References

    No references listed on IDEAS
    You can help add them by filling out this form.

    Citations

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:prg:jnlaop:v:2012:y:2012:i:2:id:365:p:77-92. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Vaclav Subrta).

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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