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A well-defined local continuum damage model with softening via convexification and entropic regularization

Lauff C, Schlichting A, Böhlke T, Schneider M.   +3 more
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Discrete Probability [PDF]

, 2001
The learner will review of some of the pertinent probability concepts that will be used in many of the other mathematical finance ...
Smith, David
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Approximating discrete probability distributions

IEEE Transactions on Information Theory, 1969
The method of minimum discrimination information estimation is applied to the problem of estimating an n -dimensional discrete probability distribution in terms of lower order marginal distributions. The procedure provides a convergent iterative algorithm. The method yields regular best asymptotically normal (RBAN) estimates.
Harry H. Ku, Solomon Kullback
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Discrete Approximations of Probability Distributions

Management Science, 1983
Practical limits on the size of most probabilistic models require that probability distributions be approximated by a few representative values and associated probabilities. This paper demonstrates that methods commonly used to determine discrete approximations of probability distributions systematically underestimate the moments of the original ...
Allen C. Miller, III, Thomas R. Rice
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Uncertain probabilities I: the discrete case

Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
James J. Buckley, Esfandiar Eslami
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Envelopes of a simplex of discrete probabilities

Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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