Journal of Ayn Rand Studies 13 (2):81-95 (2013)
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Abstract |
The main purpose of this article is to use Ayn Rand’s analysis of the meaning of objectivity to clarify the much-discussed question of whether probability is “objective” or “subjective.” This results in a classification of probability theories as frequentist, subjective Bayesian, or objective Bayesian. The work of objective Bayesian E. T. Jaynes is emphasized, and is used to provide a formal definition of probability. The relation between probability and induction is covered briefly, with probability theory presented as the basis of inductive inference.
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Keywords | probability objective subjective Bayesian Ayn Rand Jaynes |
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DOI | 10.5325/jaynrandstud.13.2.0081 |
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References found in this work BETA
Probability, Frequency, and Reasonable Expectation.Richard T. Cox - 1946 - American Journal of Physics 14 (2):1-13.
Probability Disassembled.John D. Norton - 2007 - British Journal for the Philosophy of Science 58 (2):141-171.
Citations of this work BETA
The Objective-Subjective Dichotomy and Rand's Trichotomy.Arnold Baise - 2017 - Journal of Ayn Rand Studies 17 (2):227-237.
Developing an Instrument to Measure Objectivism.Eric B. Dent, John A. Parnell & Shawn M. Carraher - 2018 - Journal of Ayn Rand Studies 18 (1):1-27.
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