Probability Theory and Its Models
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This paper argues for the status of formal probability theory as a mathematical, rather than a scientific, theory. Some remarks are made about the historical transition from Hilbert’s view of probability as a scientific theory to Kolmogorov’s view of probability as a mathematical theory. A process is provided that bridges abstract probability theory with concrete systems via mathematical models. This demonstrates that empirical content is injected into formal models via the mapping from those formal models on to elements of the concrete systems. David Freedman and Philip Stark’s concept of model-based probabilities is examined and is used as a bridge between the formal theory and applications.
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2019 ◽
Vol 10
(1)
◽
pp. 216-219
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Keyword(s):