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Dual feasible functions (DFFs) have been used to provide bounds for standard packing problems and valid inequalities for integer optimization problems. In this paper, the connection between general DFFs and a particular family of…

最优化与控制 · 数学 2018-12-04 Matthias Köppe , Jiawei Wang

We consider the distribution of the sum and the maximum of a collection of independent exponentially distributed random variables. The focus is laid on the explicit form of the density functions (pdf) of non-i.i.d. sequences. Those are…

概率论 · 数学 2013-07-16 Markus Bibinger

Both parametric distribution functions appearing in extreme value theory - the generalized extreme value distribution and the generalized Pareto distribution - have log-concave densities if the extreme value index gamma is in [-1,0].…

统计理论 · 数学 2023-04-17 Samuel Müller , Kaspar Rufibach

The present article is devoted to the semi-parametric estimation of multivariate expectiles for extreme levels. The considered multivariate risk measures also include the possible conditioning with respect to a functional covariate,…

统计理论 · 数学 2023-03-30 Elena Di Bernardino , Thomas Laloë , Cambyse Pakzad

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…

概率论 · 数学 2014-07-03 Vincent Leijdekker , Michel Mandjes , Peter Spreij

This paper presents a new model for characterising temporal dependence in exceedances above a threshold. The model is based on the class of trawl processes, which are stationary, infinitely divisible stochastic processes. The model for…

统计方法学 · 统计学 2017-12-19 Ragnhild C. Noven , Almut E. D. Veraart , Axel Gandy

The inverse structure functions of exit distances have been introduced as a novel diagnostic of turbulence which emphasizes the more laminar regions [1-4]. Using Taylor's frozen field hypothesis, we investigate the statistical properties of…

流体动力学 · 物理学 2007-05-23 W. -X. Zhou , D. Sornette , W. -K. Yuan

We review some applications of central limit theorems and extreme values statistics in the context of disordered systems. We discuss several problems, in particular concerning Random Matrix Theory and the generalisation of the Tracy-Widom…

统计力学 · 物理学 2009-11-13 Giulio Biroli , Jean-Philippe Bouchaud , Marc Potters

We study the one-dimensional branching random walk in the case when the step size distribution has a stretched exponential tail, and, in particular, no finite exponential moments. The tail of the step size $X$ decays as $\mathbb{P}[X \geq…

概率论 · 数学 2022-04-12 Piotr Dyszewski , Nina Gantert , Thomas Höfelsauer

We consider the large deviations at the order of the variance for the central value of a family of $L$-functions among the members with bounded discriminant. When there is an upper bound on an integer moment of the central value twisted by…

数论 · 数学 2025-10-07 N. Creighton

We study the behavior of threads and polymers in a turbulent flow. These objects have finite spatial extension, so the flow along them differs slightly. The corresponding drag forces produce a finite average stretching and the thread is…

混沌动力学 · 物理学 2015-05-30 Itzhak Fouxon , Harald A. Posch

In this article, the exponentiated discrete Lindley distribution is presented and studied. Some important distributional properties are discussed. Using the maximum likelihood method, estimation of the model parameters is investigated.…

统计理论 · 数学 2018-07-27 M. El-Morshedy , M. S. Eliwa , H. Nagy

In this work, we establish, for a strong Feller process, the large deviation principle for the occupation measure conditioned not to exit a given subregion. The rate function vanishes only at a unique measure, which is the so-called…

概率论 · 数学 2024-11-27 Arnaud Guillin , Boris Nectoux , Liming Wu

Steepest descent algorithms, which are commonly used in deep learning, use the gradient as the descent direction, either as-is or after a direction shift using preconditioning. In many scenarios calculating the gradient is numerically hard…

计算机视觉与模式识别 · 计算机科学 2024-05-28 Gal Lifshitz , Dan Raviv

We present Monte Carlo data for a linear chain with excluded volume subjected to a uniform stretching. Simulation of long chains (up to 6000 beads) at high stretching allows us to observe the signature of tensile blobs as a crossover in the…

软凝聚态物质 · 物理学 2009-10-30 Carlo Pierleoni , Gianluigi Arialdi , Jean-Paul Ryckaert

We study the long-time behavior of the scaled walker (particle) position associated with decoupled continuous-time random walk which is characterized by superheavy-tailed distribution of waiting times and asymmetric heavy-tailed…

统计力学 · 物理学 2013-02-19 S. I. Denisov , Yu. S. Bystrik , H. Kantz

The relation between the shape of the force driving a turbulent flow and the upper bound on the dimensionless dissipation factor $\beta$ is presented. We are interested in non-trivial (more than two wave numbers) forcing functions in a…

流体动力学 · 物理学 2011-09-16 B. Rollin , Y. Dubief , C. R. Doering

Stretched-exponential relaxation is a widely observed phenomenon found in ordered ferromagnets as well as glassy systems. One modeling approach connects this behavior to a droplet dynamics described by an effective Langevin equation for the…

统计力学 · 物理学 2024-02-21 Lucianno Defaveri , Eli Barkai , David A. Kessler

Large deviations for sums of i.i.d.\ random variables with stretched-exponential tails (also called Weibull or semi-exponential tails) have been well understood since the 60's, going back to Nagaev's seminal work. Many extensions in the…

概率论 · 数学 2026-02-04 Nina Gantert , Joscha Prochno , Philipp Tuchel

We consider real-valued branching random walks and prove a large deviation result for the position of the rightmost particle. The position of the rightmost particle is the maximum of a collection of a random number of dependent random…

概率论 · 数学 2019-06-27 Nina Gantert , Thomas Höfelsauer