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Probability as a Theory Dependent Concept

Synthese, 1999
Objectivists, we are told, explain probabilities in terms of events (Kolmogorov) or propensities (Popper), while on the other hand subjectivists refer to hypotheses (Keynes, Carnap) or degrees of belief (Ramsay, de Finetti). The aim of this paper is to unite the two facets, the objective and the subjective, in one single description: theory dependent ...
David Atkinson, Jeanne Peijnenburg
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Frequentist Probability Theory

2008
info:eu-repo/semantics ...
Hörmann, Siegfried, Friedl, H.
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Probable correctness theory

Information Processing Letters, 1987
Abstract A theory of ‘probable correctness’ is proposed to assess the reliability of software through testing. Current research in testing is not adequate for this assessment. Most testing methods are intended for debugging, to find failures and connect them to program faults for repair.
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A Categorical Approach to Probability Theory

Studia Logica, 2010
The authors continue their studies of categorical aspects of fuzzification of probability theory. They demonstrate that the category \(ID\) of \(D\)-posets of fuzzy sets and sequentially continuous \(D\)-homomorphisms is a suitable category to model classical and fuzzy probability theory and their mutual relationship. E.g.
Roman Fric, Martin Papco
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Probability theory and martingales

2014
In the bulk of this book, we have avoided the rigorous formulation of stochastic processes used by probabilists. We have sacrificed the level of rigor in order to make the material accessible to applied mathematicians and biological physicists who tend not have a background in advanced probability theory.
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Probability Theory and Probability Semantics

Australasian Journal of Philosophy, 2001
Book Information Probability Theory and Probability Semantics. By P. Roeper and H. Leblanc. University of Toronto Press. Toronto. 1999. Pp. xii + 240. Hardback, US$65.00.
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On the probability theory on MV algebras

Soft Computing, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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PARTIAL PROBABILITY: THEORY AND APPLICATIONS

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2000
In this paper, we describe an approach to handling partially specified probabilistic information. We propose a formalism, called Partial Probability Theory (PPT), which allows very general representations of belief states, and we give brief treatments of problems, like belief change, evidence combination, and decision making in the context of PPT.
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Unbounded probability theory compatible with the probability theory of numbers

Mathematical Notes, 2012
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