Results 1 to 10 of about 2,345,508 (316)
Multivariate Tail Probabilities: Predicting Regional Pertussis Cases in Washington State [PDF]
In disease modeling, a key statistical problem is the estimation of lower and upper tail probabilities of health events from given data sets of small size and limited range.
Xuze Zhang +2 more
doaj +2 more sources
Sample-Path Large Deviations in Credit Risk [PDF]
The event of large losses plays an important role in credit risk. As these large losses are typically rare, and portfolios usually consist of a large number of positions, large deviation theory is the natural tool to analyze the tail asymptotics of the ...
V. J. G. Leijdekker +2 more
doaj +8 more sources
Tail probabilities for triangular arrays [PDF]
Di erent discrete time triangular arrays representing a noisy signal of players' activities can lead to the same limiting di usion process yet lead to di erent limit equilibria. Whether the limit equilibria are equilibria of the limiting continuous time
Fudenberg, Drew, Levine, David Saul
core +6 more sources
Estimation of Tail Probabilities by Repeated Augmented Reality. [PDF]
Synthetic data, when properly used, can enhance patterns in real data and thus provide insights into different problems. Here, the estimation of tail probabilities of rare events from a moderately large number of observations is considered. The problem is approached by a large number of augmentations or fusions of the real data with computer-generated ...
Kedem B, Pyne S.
europepmc +4 more sources
Enhanced active learning Gaussian process metamodel for estimating the one-sided tail probability of nonlinear structural response [PDF]
The safety operation and maintenance of mega-structures in China are increasingly challenged by rare but high-impact structural failures. To address the difficulty in accurately estimating the low-probability tail of the response distribution, we propose
Yunzhe Wang +3 more
doaj +2 more sources
Tail Probabilities of Noncentral Quadratic Forms
Let $S(b) = \Sigma r\sigma r^2Xr^2(nr,br^2)$ be a positive linear combination of independent noncentral chi-square random variables. This note derives two representations for the tail probabilities P[S(b) >x], a Taylor series in the noncentrality parameters and a limiting form of this series for large x.
exaly +3 more sources
An exact bound for tail probabilities for a class of conditionally symmetric bounded martingales
We consider the class, say ℳn,sym, of martingales Mn = X1 + ⋯ + Xn with conditionally symmetric bounded differences Xk such that |Xk | ≤ 1. We find explicitly a solution, say Dn(x), of the variational problem Dn(x) ≝ sup Mn ∈ℳn,sym ℙ {Mn ≥ x}.
Dainius Dzindzalieta
doaj +3 more sources
Tail probability and divergent series [PDF]
From mostly a measure-theoretic consideration, we show that for every nonnegative, finite, and $L^{1}$ function on a given finite measure space there is some nontrivial sequence of real numbers such that the series, obtained from summing over the term-by-term products of the reals and the summands of any divergent series with positive, vanishing ...
openaire +2 more sources
Trivariate copula to design coastal structures [PDF]
Some coastal structures must be redesigned in the future due to rising sea levels caused by climate change. The design of structures subjected to the actions of waves requires an accurate estimate of the long return period of such parameters as wave ...
O. Orcel, P. Sergent, F. Ropert
doaj +1 more source
Bounds for Tail Probabilities of the Sample Variance
We provide bounds for tail probabilities of the sample variance. The bounds are expressed in terms of Hoeffding functions and are the sharpest known.
V. Bentkus, M. Van Zuijlen
doaj +2 more sources

