Synthesis of probability transformers
J. Łąski (1976)
Applicationes Mathematicae
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J. Łąski (1976)
Applicationes Mathematicae
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M. S. Bingham, K. R. Parthasarathy (1966-1967)
Publications mathématiques et informatique de Rennes
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Mostafa K. Ardakani, Shaun S. Wulff (2014)
Discussiones Mathematicae Probability and Statistics
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Bertrand's paradox is a longstanding problem within the classical interpretation of probability theory. The solutions 1/2, 1/3, and 1/4 were proposed using three different approaches to model the problem. In this article, an extended problem, of which Bertrand's paradox is a special case, is proposed and solved. For the special case, it is shown that the corresponding solution is 1/3. Moreover, the reasons of inconsistency are discussed and a proper modeling approach is determined by...
Romano Scozzafava (1996)
Mathware and Soft Computing
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Giulianella Coletti (1996)
Mathware and Soft Computing
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In this paper we present an overview of mathematical models for handling partial entailments and their extensions in a probabilistic frame.
Andrzej Kamiński (1985)
Colloquium Mathematicae
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Michał Baran (2004)
Applicationes Mathematicae
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The probability minimizing problem for large losses of portfolio in discrete and continuous time models is studied. This gives a generalization of quantile hedging presented in [3].
Charles M. Stein (1985)
Banach Center Publications
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I. R. Shafarevich (2000)
The Teaching of Mathematics
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A. Korzeniowski (1978)
Colloquium Mathematicae
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G. Ghirtis (1966)
Δελτίο της Ελληνικής Μαθηματικής Εταιρίας
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Giulianella Colleti, Romano Scozzafava (1998)
Kybernetika
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In this paper we point out the lack of the classical definitions of stochastical independence (particularly with respect to events of 0 and 1 probability) and then we propose a definition that agrees with all the classical ones when the probabilities of the relevant events are both different from 0 and 1, but that is able to focus the actual stochastical independence also in these extreme cases. Therefore this definition avoids inconsistencies such as the possibility that an event ...
Jaime Martínez Sánchez, Fernando Baltazar-Larios (2022)
Kybernetika
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In this paper, we show two applications of the Banach's Fixed-Point Theorem: first, to approximate the ultimate ruin probability in the classical risk model or Cramér-Lundberg model when claim sizes have some arbitrary continuous distribution and second, we propose an algorithm based in this theorem and some conditions to guarantee the continuity of the ruin probability with respect to the weak metric (Kantorovich). In risk theory literature, there is no methodology based in the Banach's...