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AOM PDW "Bayesian Statistics: How to Conduct and Publish High-Quality Bayesian Studies"

  • 1.  AOM PDW "Bayesian Statistics: How to Conduct and Publish High-Quality Bayesian Studies"

    Posted 08-04-2018 09:37

    The RM, STR, OB, OMT, ENT, TIM, and MOC Divisions will sponsor the following event during the 2018 AOM Conference:

     

    Bayesian Statistics:

    How to Conduct and Publish High-Quality Bayesian Studies

    PDW Workshop

    Program Session: 244

    Saturday, Aug 11 2018; 8:00AM - 10:00AM

    Sheraton Grand Chicago in Chicago Ballroom X

     

    Presenter: William H. Starbuck, U. of Oregon

    Presenter: Andreas Schwab, Iowa State U.

    Presenter: Mark H Hansen, Brigham Young U.

    Presenter: Jeffrey P. Dotson, Brigham Young U.

    Presenter: Jerker C. Denrell, U. of Warwick

     

    This workshop introduces management researchers to the opportunities of Bayesian statistics for empirical management research and provides guidance on how to execute high-quality Bayesian studies. A secondary objective is to develop a platform for knowledge transfer between researchers engaged in Bayesian research. The workshop will cover the following topics: (1) Fundamental conceptual nature and potential advantages of Bayesian approaches compared to statistical significance tests; (2) Step-by-step execution of a Bayesian study and comparison to a regression analysis; (3) How to develop meaningful prior distributions; (4) Execution of Bayesian analyses: Markov-Chain Monte Carlo Simulations and available software solutions; (5) How to communicate Bayesian analyses and results in research manuscripts and (6) How management scholars can support the more extensive use of Bayesian statistics in the field of management research. This workshop also intends to support community-building efforts among Bayesian researchers. For this purpose, we have already created an internet platform to distribute presentation material, provide links to additional helpful publications and other sources (https://sites.google.com/site/bayesianresearch/). In the end, this workshop will enable and inform participants on how to better incorporate advanced Bayesian statistics in their future research.

     

    Mailed on behalf of the organizing team by

     

    Andreas Schwab

    Associate Professor and Dean's Fellow in Management
    ISU-Logo

    Ivy School of Business

    Management Department
    3315 Gerdin Business Building
    Ames, IA 50011-1350

    Phone: +62 (812) 1359 9403
    Skype: andreas.schwab9

    Email: aschwab@iastate.edu

    Academic Profile:  http://www.business.iastate.edu/faculty/?faculty=aschwab

    Research Gate:      https://www.researchgate.net/profile/Andreas_Schwab2/publications

    Google Scholar:     http://scholar.google.com/citations?user=mJbkmOMAAAAJ