Results 51 to 60 of about 216 (90)
Some generalizations and probability versions of Samuelson's inequality
Several generalizations of Samuelson’s inequality are given, including complex data and inequalities concerning random variables in a probability space.
Hongwei Jin, Julio Benítez
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ON THE TAIL BEHAVIOR OF FUNCTIONS OF RANDOM VARIABLES
It is shown that the tail behavior of the function of nonnegative random variables can be characterized using deterministic functions satisfying certain properties.
Arun Kumar, Neelesh Shankar Upadhye
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Dependence properties of bivariate copula families
Motivated by recently investigated results on dependence measures and robust risk models, this article provides an overview of dependence properties of many well known bivariate copula families, where the focus is on the Schur order for conditional ...
Ansari Jonathan, Rockel Marcus
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VaR bounds in models with partial dependence information on subgroups
We derive improved estimates for the model risk of risk portfolios when additional to the marginals some partial dependence information is available.We consider models which are split into k subgroups and consider various classes of dependence ...
Rüschendorf Ludger, Witting Julian
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Risk bounds with additional information on functionals of the risk vector
We consider the problem of determining risk bounds for the Value at Risk for risk vectors X where besides the marginal distributions also information on the distribution or on the expectation of some functionals Tj(X), 1 ≤ j ≤ m, is available.
Rüschendorf L.
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Ultra-log-concavity and discrete degrees of freedom
P. Nayar, S. Słobodianiuk
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In this article we present a stochastic ordering verification algorithm between multivariate discrete distributions implemented in the C++ programming language.
Catana Luigi-Ionut
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Two Features of the GINAR(1) Process and Their Impact on the Run-Length Performance of Geometric Control Charts. [PDF]
Morais MC.
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Statistical inference for a relaxation index of stochastic dominance under density ratio model. [PDF]
Zhuang W, Li Y, Qiu G.
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Using sums-of-squares to prove Gaussian product inequalities
The long-standing Gaussian product inequality (GPI) conjecture states that E[∏j=1n∣Xj∣yj]≥∏j=1nE[∣Xj∣yj]E\left[{\prod }_{j=1}^{n}{| {X}_{j}| }^{{y}_{j}}]\ge {\prod }_{j=1}^{n}E\left[{| {X}_{j}| }^{{y}_{j}}] for any centered Gaussian random vector (X1 ...
Russell Oliver, Sun Wei
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