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The False Dilemma: Bayesian vs. Frequentist

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  • Jordi Vallverdú

Abstract

There are two main opposing schools of statistical reasoning, frequentist and Bayesian approaches. Until recent days, the frequentist or classical approach has dominated the scientific research, but Bayesianism has reappeared with a strong impulse that is starting to change the situation. Recently the controversy about the primacy of one of the two approaches seems to be unfinished at a philosophical level, but scientific practices are giving an increasingly important position to the Bayesian approach. This paper eludes philosophical debate to focus on the pragmatic point of view of scientists' day-to-day practices, in which Bayesian methodology is very useful. Several facts and operational values are described as the core-set for understanding the change.

Suggested Citation

  • Jordi Vallverdú, 2008. "The False Dilemma: Bayesian vs. Frequentist," E-LOGOS, Prague University of Economics and Business, vol. 2008(1).
    • Handle: RePEc:prg:jnlelg:v:2008:y:2008:i:1:id:196
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    References listed on IDEAS

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    1. Jim Giles, 2002. "When doubt is a sure thing," Nature, Nature, vol. 418(6897), pages 476-478, August.
    2. Kangas, Annika S. & Kangas, Jyrki, 2004. "Probability, possibility and evidence: approaches to consider risk and uncertainty in forestry decision analysis," Forest Policy and Economics, Elsevier, vol. 6(2), pages 169-188, March.
    3. A. Racine & A. P. Grieve & H. Flühler & A. F. M. Smith, 1986. "Bayesian Methods in Practice: Experiences in the Pharmaceutical Industry," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 35(2), pages 93-120, June.
    4. Elisabeth Paté‐Cornell, 2002. "Fusion of Intelligence Information: A Bayesian Approach," Risk Analysis, John Wiley & Sons, vol. 22(3), pages 445-454, June.
    5. Zimmermann, H. -J., 2000. "An application-oriented view of modeling uncertainty," European Journal of Operational Research, Elsevier, vol. 122(2), pages 190-198, April.
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