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Asymptotic behavior of finite-time ruin probabilities in a bidimensional compound risk model 二维复合风险模型有限时间破产概率的渐近行为
IF 0.7 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2025-08-18 DOI: 10.1016/j.spl.2025.110529
Jinjin Zhang , Yang Yang , Lin Xu
Consider a bidimensional compound risk model with stochastic premiums and returns, in which an insurer makes both risk-free and risky investments in two lines of business, and an accident may cause more than one claim. In this model, we allow that the two log-price processes are both real-valued Lévy processes, the claim numbers from the same business line, the two accident arrival processes and the two premium processes from two business lines are, respectively, arbitrarily dependent, and the premium processes are also arbitrarily dependent on all other random sources except the log-price processes. Under the condition that all claims from the same line are pairwise quasi-asymptotically independent and consistently varying-tailed, this paper establishes the asymptotic formulas for two types of finite-time ruin probabilities.
考虑一个具有随机保费和收益的二维复合风险模型,其中保险公司在两条业务线中进行无风险和有风险的投资,并且事故可能导致不止一项索赔。在这个模型中,我们允许两个log-price过程都是实值l薪金过程,来自同一业务线的索赔数,两个事故到达过程和两个保费过程分别是任意依赖的,并且保费过程也任意依赖于除log-price过程之外的所有其他随机来源。在同一条线上的所有索赔都是两两拟渐近独立且一致变尾的条件下,建立了两类有限时间破产概率的渐近公式。
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引用次数: 0
Fractional signature: A generalisation of the signature inspired by fractional calculus 分数签名:由分数微积分启发的签名的推广
IF 0.7 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2025-08-18 DOI: 10.1016/j.spl.2025.110533
José Manuel Corcuera, Rubén Jiménez
In this paper, we propose a novel generalisation of the signature of a path, motivated by fractional calculus, which is able to describe the solutions of linear Caputo controlled FDEs. We also propose another generalisation of the signature, inspired by the previous one, but more convenient to use in machine learning. Finally, we test this last signature in a toy application to the problem of handwritten digit recognition, where significant improvements in accuracy rates are observed compared to those of the original signature.
在本文中,我们提出了一种新的由分数阶微积分驱动的路径签名的推广,它能够描述线性Caputo控制的FDEs的解。我们还提出了签名的另一种推广,受前一种的启发,但更便于在机器学习中使用。最后,我们在一个玩具应用程序中测试了最后一个签名,以解决手写数字识别问题,与原始签名相比,准确率有了显着提高。
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引用次数: 0
Space–time fractional diffusion with stochastic resetting 随机重置的时空分数扩散
IF 0.7 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2025-08-18 DOI: 10.1016/j.spl.2025.110528
Priti, Arun Kumar
In this article, we study the space–time fractional diffusion equation (STFDE) which is a generalization of the classical diffusion equation, in the presence of stochastic resetting. The STFDE is formulated by replacing the standard time and space derivatives with the Caputo and Riesz fractional derivatives, respectively, to capture anomalous diffusion behaviors. We derive analytical solutions using Laplace and Fourier transforms, and express them in terms of Fox H-functions. We obtain a closed-form expression for the stationary distribution and prove the finiteness of the mean first passage time. Additionally, we examine how stochastic resetting influences the infinite divisibility of the standard diffusion process, showing that this property is lost once resetting is introduced. The reset mechanism interrupts the Lévy process at random times, effectively altering the jump structure and destroying the self-decomposability required for infinite divisibility.
本文研究了随机重置条件下的时空分数扩散方程(STFDE),它是经典扩散方程的推广。STFDE是通过分别用Caputo和Riesz分数阶导数代替标准时间和空间导数来制定的,以捕获异常扩散行为。我们用拉普拉斯变换和傅里叶变换推导出解析解,并用Fox h函数表示它们。得到了平稳分布的封闭表达式,并证明了平均首次通过时间的有限性。此外,我们研究了随机重置如何影响标准扩散过程的无限可分性,表明一旦引入重置,这种性质就会丢失。复位机制在随机时间中断lsamvy过程,有效地改变了跳跃结构,破坏了无限可整除性所需的自分解性。
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引用次数: 0
Random bridges in spaces of growing dimension 在不断增长的维度空间中的随机桥
IF 0.7 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2025-08-16 DOI: 10.1016/j.spl.2025.110530
Bochen Jin
We investigate the limiting behaviour of the path of random bridges treated as random sets in Rd with the Euclidean metric and the dimension d increasing to infinity. The main result states that, in the square integrable case, the limit (in the Gromov–Hausdorff sense) is deterministic, namely, it is [0,1] equipped with the pseudo-metric |ts|(1|ts|). We also show that, in the heavy-tailed case with summands regularly varying of order α(0,1), the limiting metric space has a random metric derived from the bridge variant of a subordinator.
我们研究了在Rd中作为随机集的随机桥的路径的极限行为,其欧几里得度规和维数d增加到无穷。主要结果表明,在平方可积情况下,极限(在Gromov-Hausdorff意义下)是确定性的,即[1,1]具有伪度量|t−s|(1−|t−s|)。我们还证明了,在求和项为α∈(0,1)阶正则变化的重尾情况下,极限度量空间有一个从从属子的桥变派生的随机度量。
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引用次数: 0
A note on three new bounds of Tsallis entropy 关于萨利斯熵的三个新边界的注解
IF 0.7 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2025-08-14 DOI: 10.1016/j.spl.2025.110524
Panxu Yuan , Zhenfeng Zou
Tsallis entropy is a commonly used uncertainty measure in information theory. In this paper, three new bounds of Tsallis entropy are provided for discrete random variables with finite support. This improves the understanding of the information content in complex systems.
萨利斯熵是信息论中常用的不确定性测度。本文给出了具有有限支持的离散随机变量的三个新的Tsallis熵界。这提高了对复杂系统中信息内容的理解。
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引用次数: 0
The Borel–Cantelli lemma under m-dependence m依赖下的Borel-Cantelli引理
IF 0.7 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2025-08-13 DOI: 10.1016/j.spl.2025.110525
Dawei Lu, Yunpeng Shi, Junhan Zhao
Let {An}n=1 be an m-dependent sequence of events. In this paper, we proved the second part of the Borel–Cantelli lemma still holds under m-dependence. Furthermore, we also obtained the quantitative version of this result.
设{An}n=1∞为与m相关的事件序列。在本文中,我们证明了Borel-Cantelli引理的第二部分在m依赖条件下仍然成立。此外,我们还得到了这一结果的定量版本。
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引用次数: 0
On the mean absorption time of multiple coalescing particles with removal at previously visited vertices 在先前访问的顶点上去除多个聚结粒子的平均吸收时间
IF 0.7 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2025-08-13 DOI: 10.1016/j.spl.2025.110523
Mario A. Estrada , Alex D. Ramos , Pablo M. Rodriguez
We study a stochastic process of multiple coalescing particles. In our process, k particles begin at an arbitrary but fixed vertex of a complete graph. Each particle performs an independent discrete-time symmetric random walk on the graph. When two or more particles meet at a given vertex, they merge into a single particle that continues the random walk through the graph. If a particle jumps to a vertex that has been previously visited by another particle, it is removed from the system. We analyze the asymptotic behavior of the absorption time of the process; i.e., the number of steps until the last particle is removed from the system.
我们研究了一个多聚结粒子的随机过程。在我们的过程中,k个粒子从一个完全图的任意但固定的顶点开始。每个粒子在图上执行独立的离散时间对称随机漫步。当两个或多个粒子在给定的顶点相遇时,它们合并成一个粒子,继续在图中随机行走。如果一个粒子跳到另一个粒子之前访问过的顶点,它就会从系统中移除。我们分析了过程的吸收时间的渐近行为;即,直到最后一个粒子从系统中移除的步数。
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引用次数: 0
Transportation cost-information inequality for non-linear time-fractional stochastic heat equation driven by space–time white noise 时空白噪声驱动下非线性时间分数随机热方程的运输成本-信息不等式
IF 0.7 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2025-08-12 DOI: 10.1016/j.spl.2025.110519
Ruinan Li , Yumeng Li
We establish transportation cost-information inequalities T2(C) for solutions of nonlinear stochastic partial differential equation of fractional order in both space and time variables with deterministic and bounded initial conditions: tβu(t,x)+(Δ)α/2u(t,x)=Itγσ(u(t,x))Ẇ(t,x)in(0,)×Rd,where α>0, β(0,2], γ0, tβ is the Caputo fractional derivative, (Δ)α/2 is the fractional/power of Laplacian, Itγ is the Riemann–Liouville integral operator, Ẇ(t,x) is a space–time white noise, and σ:RR is a bounded and Lipschitz function. Since the space variable is defined on the unbounded domain Rd, the inequalities are proved under a weighted L2-norm in the spatial domain.
本文建立了具有确定性有界初始条件的分数阶非线性随机偏微分方程在时空变量下解的运输成本-信息不等式T2(C):∂tβu(t,x)+(−Δ)α/2u(t,x)=Itγσ(u(t,x))Ẇ(t,x)in(0,∞)×Rd,其中α>;0, β∈(0,2),γ≥0,∂tβ是Caputo分数阶导数,−(−Δ)α/2是拉普拉斯函数的分数/幂,Itγ是Riemann-Liouville积分算子,Ẇ(t,x)是时空白噪声,σ:R→R是有界的Lipschitz函数。由于空间变量定义在无界域Rd上,因此在空间域的加权l2范数下证明了这些不等式。
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引用次数: 0
Saddlepoint approximation for the kernel density estimator 核密度估计器的鞍点近似
IF 0.7 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2025-08-10 DOI: 10.1016/j.spl.2025.110522
Cyrille Joutard
Assuming real and independent and identically distributed observations, we obtain a classical pointwise saddlepoint approximation for the tail probability of the Parzen–Rosenblatt density estimator. This saddlepoint approximation is similar to the one which was first obtained by Daniels (1987) for the sample mean via the method of indirect Edgeworth expansion.
假设真实的、独立的、同分布的观测值,我们得到了Parzen-Rosenblatt密度估计的尾概率的一个经典的点向鞍点近似。这种鞍点近似与Daniels(1987)通过间接Edgeworth展开方法首次获得的样本均值近似相似。
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引用次数: 0
Strong law of large numbers for random walks in weakly dependent random scenery 弱依赖随机环境下随机漫步的强大数定律
IF 0.7 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2025-08-08 DOI: 10.1016/j.spl.2025.110521
Sadillo Sharipov
In this brief note, we study the strong law of large numbers for random walks in random scenery. Under the assumptions that the random scenery is non-stationary and satisfies weakly dependent condition with an appropriate rate, we establish strong law of large numbers for random walks in random scenery. Our results extend the known results in the literature.
在这篇简短的笔记中,我们研究了随机环境中随机漫步的强大数定律。在假设随机景物是非平稳且以适当的速率满足弱相关条件的前提下,建立了随机景物中随机漫步的强大数律。我们的结果扩展了文献中已知的结果。
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引用次数: 0
期刊
Statistics & Probability Letters
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