Results 11 to 20 of about 6,594 (144)
IET Information SecurityThe current multikey fully homomorphic encryption (MKFHE) needs to add exponential noise in the distributed decryption phase to ensure the simulatability of partial decryption.
Xiaokang Dai, Wenyuan Wu, Yong Feng
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Optimising Control Device Luring Strategies for Invasive Predator Control: A Modelling Approach. [PDF]
Ecol EvolInvasive predators pose a threat to native biodiversity, and their management is hindered by trap‐shyness. Using Bayesian estimation, researchers quantified trap‐shyness in wild brushtail possums, finding a large number of trap‐shy individuals with a low probability of trap interaction.
Vattiato G +5 more
europepmc +2 more sources
Second order subexponential distributions [PDF]
Journal of the Australian Mathematical Society. Series A. Pure Mathematics and Statistics, 1991 AbstractThe class of subexponential distributionsSis characterized byF(0) = 0, 1 −F(2)(x) ~ 2(1 −F(x)) asx→ ∞. In this paper we consider a subclass ofSfor which the relation 1 −F(2)(x) − 2(1 −F(x)) + (1 −F(x))2=o(a(x)) asx→ ∞ holds, where α is a positive function satisfying α(X) = 0(1 −F(x)) (x→ ∞).
Geluk, J. L., Pakes, A. G.
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IEEE Access, 2020 According to in-depth research, a wide range of problems in applied science involve estimating the probability of compound stochastic sums of heavy-tailed risks over a large threshold.
Zhaoyang Lu
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Multivariate subexponential distributions and their applications [PDF]
Extremes, 2016 We propose a new definition of a multivariate subexponential distribution. We compare this definition with the two existing notions of multivariate subexponentiality, and compute the asymptotic behaviour of the ruin probability in the context of an insurance portfolio, when multivariate subexponentiality holds.
Samorodnitsky, Gennady, Sun, Julian
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Convolutions of Long-Tailed and Subexponential Distributions [PDF]
Journal of Applied Probability, 2009 Convolutions of long-tailed and subexponential distributions play a major role in the analysis of many stochastic systems. We study these convolutions, proving some important new results through a simple and coherent approach, and also showing that the standard properties of such convolutions follow as easy consequences.
Foss, Sergey +2 more
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Asymptotic tail behavior of phase-type scale mixture distributions [PDF]
, 2015 We consider phase-type scale mixture distributions which correspond to distributions of a product of two independent random variables: a phase-type random variable $Y$ and a nonnegative but otherwise arbitrary random variable $S$ called the scaling ...
Rojas-Nandayapa, Leonardo, Xie, Wangyue
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Pathwise concentration bounds for Bayesian beliefs
Theoretical Economics, Volume 18, Issue 4, Page 1585-1622, November 2023., 2023 We show that Bayesian posteriors concentrate on the outcome distributions that approximately minimize the Kullback–Leibler divergence from the empirical distribution, uniformly over sample paths, even when the prior does not have full support. This generalizes Diaconis and Freedman's (1990) uniform convergence result to, e.g., priors that have finite ...
Drew Fudenberg +2 more
wiley +1 more source
Hypergraph Ramsey numbers of cliques versus stars
Random Structures &Algorithms, Volume 63, Issue 3, Page 610-623, October 2023., 2023 Abstract Let Km(3)$$ {K}_m^{(3)} $$ denote the complete 3‐uniform hypergraph on m$$ m $$ vertices and Sn(3)$$ {S}_n^{(3)} $$ the 3‐uniform hypergraph on n+1$$ n+1 $$ vertices consisting of all n2$$ \left(\genfrac{}{}{0ex}{}{n}{2}\right) $$ edges incident to a given vertex.
David Conlon +5 more
wiley +1 more source
Impact of nonpharmacological interventions on COVID-19 transmission dynamics in India
Indian Journal of Public Health, 2020 Background: As of May 4, 2020, India has reported 42,836 confirmed cases and 1,389 deaths from COVID-19. India's multipronged response included nonpharmacological interventions (NPIs) like intensive case-based surveillance, expanding testing capacity ...
Purvi Patel +5 more
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