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Probability as a Theory Dependent Concept
Synthese, 1999Objectivists, 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
2008info:eu-repo/semantics ...
Hörmann, Siegfried, Friedl, H.
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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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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, 2010The 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
2014In 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, 2001Book 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, 2000zbMATH 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, 2000In 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, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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