TL;DR
This paper discusses the nature of formal probability theory as a mathematical framework and explores model-based probabilities as a link to practical applications.
Contribution
It clarifies the status of probability theory as a mathematical discipline and examines model-based probabilities for connecting theory with practice.
Findings
Probability theory is positioned as a mathematical, not scientific, theory.
Model-based probabilities serve as a bridge between formal theory and applications.
The paper analyzes the concepts of Freedman and Stark in the context of probability models.
Abstract
This paper argues for the status of formal probability theory as a mathematical, rather than a scientific, theory. 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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