PROBABILITY (BAYESIAN) 2)3)
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"The measure of the plausibility of an hypothese or proposition".
Bayesian probabilities offer a measure of subjective evaluations.
Such probabilities "cannot readily be understood as frequencies, but they have a natural interpretation as indicating the speaker's degree of belief or confidence in the statement, given the available evidence" (W.H. JEFFERYS & J.O. BERGER, 1992, p.66).
Bayesian probabilities are used to quantify a belief or hypothesis related to some situation that cannot be experimentally repeated or produced, in which case no frequencies can be measured.
Of course "… subjective estimates (can) be modified as new information becomes available, leading to the revisions of a priori probabilities" (J.van GIGCH, 1978, p.202).
Generally, new information "more or less"-settles within the brackets of the former probabilities evaluation."More or less"means that the effect of the new information will in most cases lead to narrower brackets of evaluation, i.e. diminishing the spread between upper and lesser values. An interesting practical example has been given by some marine biologists who re-evaluated the rockfish stocks in California (K. SHMIDT, 2003, p. 44-47)
→ Fluctuation; Predictability; Randomness (Constrained); Randomness reduction
Categories
- 1) General information
- 2) Methodology or model
- 3) Epistemology, ontology and semantics
- 4) Human sciences
- 5) Discipline oriented
Publisher
Bertalanffy Center for the Study of Systems Science(2020).
To cite this page, please use the following information:
Bertalanffy Center for the Study of Systems Science (2020). Title of the entry. In Charles François (Ed.), International Encyclopedia of Systems and Cybernetics (2). Retrieved from www.systemspedia.org/[full/url]
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