• Login
    View Item 
    •   MINDS@UW Home
    • MINDS@UW Eau Claire
    • UWEC Office of Research and Sponsored Programs
    • CERCA
    • View Item
    •   MINDS@UW Home
    • MINDS@UW Eau Claire
    • UWEC Office of Research and Sponsored Programs
    • CERCA
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Bayesian Inferential Statistics Implemented in R

    Thumbnail
    File(s)
    McQuestionSpr17.pdf (392.6Kb)
    Date
    2017-12-11
    Author
    Davis, Christopher
    McQuestion, Jack
    Metadata
    Show full item record
    Abstract
    Conventional frequentist statistics taught in undergraduate courses are obviously better than nothing, yet suffer from systematic failures that allow for easy p-hacking and consistent over-estimation of significance and effect sizes. Use of frequentist statistics is the strongest factor contributing to the replication crisis in the social sciences. Bayesian statistics, by contrast, have numerous advantages and can be tailored to any possible inferential problem. Many researchers and academics have advocated for Bayesianism, but only relatively recently have advances in computer technology allowed certain statistical methods to become practical.
    Subject
    Mathematics
    Bayesian statistics
    Statistics
    Posters
    Permanent Link
    http://digital.library.wisc.edu/1793/77561
    Type
    Presentation
    Description
    Color poster with text and graphs.
    Part of
    • CERCA

    Contact Us | Send Feedback
     

     

    Browse

    All of MINDS@UWCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Login

    Contact Us | Send Feedback