The integral limit theorem in the first passage problem for sums of independent nonnegative lattice variables.
Virchenko, Yuri P., Yastrubenko, M.I. (2006)
Abstract and Applied Analysis
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Virchenko, Yuri P., Yastrubenko, M.I. (2006)
Abstract and Applied Analysis
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Petr Lánský (1978)
Aplikace matematiky
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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...
B. Kopociński (2004)
Applicationes Mathematicae
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We define two splitting procedures of the interval [0,1], one using uniformly distributed points on the chosen piece and the other splitting a piece in half. We also define two procedures for choosing the piece to be split; one chooses a piece with a probability proportional to its length and the other chooses each piece with equal probability. We analyse the probability distribution of the lengths of the pieces arising from these procedures.
Przemysław Klęsk (2010)
International Journal of Applied Mathematics and Computer Science
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Two known approaches to complexity selection are taken under consideration: n-fold cross-validation and structural risk minimization. Obviously, in either approach, a discrepancy between the indicated optimal complexity (indicated as the minimum of a generalization error estimate or a bound) and the genuine minimum of unknown true risks is possible. In the paper, this problem is posed in a novel quantitative way. We state and prove theorems demonstrating how one can calculate pessimistic...
Dong, Hua, Zhao, Xiang Hua, Liu, Zai Ming (2010)
Applied Mathematics E-Notes [electronic only]
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Bansaye, Vincent (2009)
Journal of Probability and Statistics
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Jamal Najim (2005)
ESAIM: Probability and Statistics
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A Large Deviation Principle (LDP) is proved for the family where the deterministic probability measure converges weakly to a probability measure and are -valued independent random variables whose distribution depends on and satisfies the following exponential moments condition: In this context, the identification of the rate function is non-trivial due to the absence of equidistribution. We rely on fine convex analysis to address this issue. Among...