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Pricing formula of Lookback option in stochastic delay differential equation model 随机延迟微分方程模型中的回溯期权定价公式
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-10-17 DOI: 10.1016/j.spl.2024.110283
Paek Il-Kwang , Kang Chol-Su , Kim Kyong-Hui
This paper deals with new explicit pricing formulae for Lookback option when underlying asset price processes are represented by stochastic delay differential equation (hereafter “SDDE”). We derive a lemma on the joint distribution of the minimum and itself of a Wiener process in the SDDE model. Using this lemma, we obtain the explicit pricing formulae for the Lookback option. Through some numerical comparison experiment, we assure the correctness of the obtained pricing formula.
本文论述了当标的资产价格过程由随机延迟微分方程(以下简称 "SDEDE")表示时,Lookback 期权的新的显式定价公式。我们推导了一个关于 SDDE 模型中维纳过程的最小值及其本身的联合分布的两难式。利用这个定理,我们得到了回溯期权的明确定价公式。通过一些数值对比实验,我们保证了所得到的定价公式的正确性。
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引用次数: 0
Well-posedness for the stochastic Landau–Lifshitz–Gilbert equation with helicity driven by jump noise 具有跳变噪声驱动的螺旋的随机朗道-利夫希茨-吉尔伯特方程的良好拟合
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-10-15 DOI: 10.1016/j.spl.2024.110285
Soham Gokhale
We consider the stochastic Landau–Lifshitz–Gilbert equation driven by pure jump noise. We assume non-zero contribution from the helicity term to the total energy. Using finite dimensional approximation followed by a generalization of the Jakubowski’s version of the Skorohod Theorem for non-metric spaces, we show that the considered problem admits a weak martingale solution. Restricting the problem to dimension 1, we show that the obtained solution is pathwise unique, thereby concluding the existence of a strong solution.
我们考虑由纯跳跃噪声驱动的随机兰道-利夫希茨-吉尔伯特方程。我们假设螺旋项对总能量的贡献为非零。利用有限维近似和非度量空间的 Jakubowski 版 Skorohod 定理的广义,我们证明了所考虑的问题有一个弱马丁格尔解。将问题限制在维数 1,我们证明了所得到的解在路径上是唯一的,从而得出了强解存在的结论。
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引用次数: 0
Optimal curing rate allocation in the SIS epidemic model SIS 流行病模型中的最佳固化率分配
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-10-15 DOI: 10.1016/j.spl.2024.110284
Ryan McFadden, Fraser Daly, Seva Shneer
We consider a susceptible-infected-susceptible (SIS) epidemic model on an undirected graph, with a homogeneous infection rate and heterogeneous curing rates. We set an overall network curing rate, Δ, and study optimal allocation of curing rates to nodes, in terms of the expected time to the extinction of the epidemic. As other parameters are fixed, we study these allocations as the infection rate tends to 0 and in both regular and non-regular graphs. We further illustrate this optimisation with some numerical examples. Our findings demonstrate that, while the uniform split of Δ is optimal in some situations, it is typically not optimal, even for regular graphs.
我们考虑了无向图上的易感-感染-易感(SIS)流行病模型,该模型具有同质感染率和异质治愈率。我们设定了一个整体网络固化率 Δ,并从疫情消亡的预期时间角度研究了各节点固化率的最优分配。由于其他参数是固定的,我们将在规则图和非规则图中研究感染率趋于 0 和 ∞ 时的分配情况。我们通过一些数值示例进一步说明了这种优化方法。我们的研究结果表明,虽然在某些情况下Δ的统一分割是最优的,但它通常不是最优的,即使对于规则图也是如此。
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引用次数: 0
Statistical inference for Ornstein–Uhlenbeck processes based on low-frequency observations 基于低频观测的 Ornstein-Uhlenbeck 过程的统计推断
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-10-15 DOI: 10.1016/j.spl.2024.110286
Dingwen Zhang
Low-frequency observations are a common occurrence in real-world applications, making statistical inference for stochastic processes driven by stochastic differential equations (SDEs) based on such observations an important issue. In this paper, we investigate the statistical inference for the Ornstein–Uhlenbeck (OU) process using low-frequency observations. We propose modified least squares estimators (MLSEs) for the drift parameters and a modified quadratic variation estimator for the diffusion parameter based on the solution of the OU process. The MLSEs are derived heuristically using the nonlinear least squares method, despite the OU process satisfying a linear SDE. Unlike previous approaches, these modified estimators are asymptotically unbiased. Leveraging the ergodic properties of the OU process, we also propose ergodic estimators for the three parameters. The asymptotic behavior of these estimators is established using the ergodic properties and central limit theorem for the OU process, achieved through linear model techniques and multivariate Markov chain central limit theorem. Monte Carlo simulation results are presented to illustrate and support our theoretical findings.
低频观测是现实世界应用中的常见现象,因此基于低频观测对由随机微分方程(SDE)驱动的随机过程进行统计推断是一个重要问题。本文研究了利用低频观测数据对奥恩斯坦-乌伦贝克(OU)过程进行统计推断的问题。我们根据 OU 过程的解,提出了漂移参数的修正最小二乘估计器(MLSE)和扩散参数的修正二次变化估计器。尽管 OU 过程满足线性 SDE,但 MLSE 是通过非线性最小二乘法启发式得出的。与以前的方法不同,这些修正估计器在渐近上是无偏的。利用 OU 过程的遍历特性,我们还提出了三个参数的遍历估计值。通过线性模型技术和多变量马尔可夫链中心极限定理,我们利用 OU 过程的遍历特性和中心极限定理确定了这些估计器的渐近行为。蒙特卡罗模拟结果用于说明和支持我们的理论发现。
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引用次数: 0
A note on invariant manifolds for stochastic partial differential equations in the framework of the variational approach 关于变分法框架内随机偏微分方程不变流形的说明
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-10-11 DOI: 10.1016/j.spl.2024.110282
Rajeev Bhaskaran, Stefan Tappe
In this note we provide conditions for local invariance of finite dimensional submanifolds for solutions to stochastic partial differential equations (SPDEs) in the framework of the variational approach. For this purpose, we provide a connection to SPDEs in continuously embedded spaces.
在本论文中,我们在变分法的框架内为随机偏微分方程(SPDE)的解提供了有限维子漫游的局部不变性条件。为此,我们提供了与连续嵌入空间中的 SPDEs 的联系。
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引用次数: 0
Generalized wordlength enumerator for asymmetrical designs 非对称设计的通用字长枚举器
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-10-10 DOI: 10.1016/j.spl.2024.110281
Kang Wang , Na Zou , Hong Qin
In this paper, we extend the study of wordlength enumerator to asymmetrical designs, and unify the generalized α- and β-wordlength pattern with generalized wordlength enumerator. The generalized wordlength enumerator is easy and fast to compute, and can effectively compare and rank symmetrical and asymmetrical designs. A lower bound of generalized wordlength enumerator is provided, and can be used as a benchmark for searching and constructing optimal designs. Numerical results are also provided, which lend further support to our theoretical findings.
本文将字长枚举器的研究扩展到非对称设计,并将广义 α 和 β 字长模式与广义字长枚举器统一起来。广义字长枚举器计算简单、速度快,能有效地对对称设计和非对称设计进行比较和排序。提供了广义字长枚举器的下限,可作为搜索和构建最优设计的基准。我们还提供了数值结果,进一步支持了我们的理论发现。
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引用次数: 0
An equilibrium model of reinsurance pricing 再保险定价的均衡模型
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-10-01 DOI: 10.1016/j.spl.2024.110280
Jiang Cheng , Chao Deng , Shuyan Liu , Xudong Zeng
Reinsurance is the insurance of insurance companies. We develop a dynamic equilibrium model for reinsurance pricing based on the supply and demand of reinsurance. In the model, an insurance company and a reinsurance company make decisions on the optimal reinsurance policy as a demander and a supplier of reinsurance, respectively. The reinsurance price is determined when the demand matches the supply. We incorporate the proportional reinsurance policy as well as investment opportunities into the framework. The high flexibility of this equilibrium pricing model paves a new way for studies of optimal reinsurance and reinsurance pricing.
再保险是保险公司的保险。我们建立了一个基于再保险供求关系的再保险定价动态均衡模型。在该模型中,保险公司和再保险公司分别作为再保险的需求方和供应方,就最佳再保险政策做出决策。当需求与供给相匹配时,再保险价格就确定了。我们将比例再保险政策和投资机会纳入该框架。这种均衡定价模型的高度灵活性为研究最优再保险和再保险定价铺平了道路。
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引用次数: 0
Stationary distribution of a stochastic generalized SIRI epidemic model with reinfection and relapse 具有再感染和复发的随机广义 SIRI 流行模型的静态分布
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-09-27 DOI: 10.1016/j.spl.2024.110279
Kai Wang , Hongjie Fan , Yanling Zhu
In this paper, we propose and investigate the stochastic SIRI epidemic model with two generalized incidence rate functions. We firstly study the existence and uniqueness of the globally positive solution to the stochastic SIRI model with positive initial value. Then we obtain sufficient conditions for the extinction of the disease in the stochastic epidemic model, and find that the large noise can make the disease die out exponentially. Meanwhile, we obtain that the solution to the stochastic model has a unique stationary distribution when R0s˜ is greater than one. Our results show that the intensity of white noise can affect the dynamical behaviors of the model. Finally, we use numerical simulation to illustrate theoretical results, and apply both the stochastic and deterministic models to analyze the outbreak of COVID-19 epidemic in Serbia.
本文提出并研究了具有两个广义发病率函数的随机 SIRI 流行模型。我们首先研究了具有正初始值的随机 SIRI 模型全局正解的存在性和唯一性。然后,我们得到了随机流行模型中疾病消亡的充分条件,并发现大噪声会使疾病以指数形式消亡。同时,我们得到当 R0s˜ 大于 1 时,随机模型的解具有唯一的静态分布。我们的结果表明,白噪声的强度会影响模型的动力学行为。最后,我们用数值模拟来说明理论结果,并应用随机模型和确定性模型来分析塞尔维亚 COVID-19 疫情的爆发。
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引用次数: 0
Mean square error and variance estimation of the sample ratio under Lahiri ’s design 拉希里设计下样本比例的均方误差和方差估计
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-09-24 DOI: 10.1016/j.spl.2024.110277
Hiroshi Saigo
The mean square error of the sample ratio under Lahiri’s design is derived and is compared with that under simple random sampling without replacement. New variance estimators of the sample ratio under the design are proposed. A simulation study is conducted to confirm the main results.
得出了拉希里设计下样本比率的均方误差,并将其与简单随机抽样(无替换)下的均方误差进行了比较。提出了该设计下样本比率的新方差估计值。为证实主要结果,进行了模拟研究。
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引用次数: 0
Universally consistent K-sample tests via dependence measures 通过依赖性测量进行普遍一致的 K 样本测试
IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2024-09-19 DOI: 10.1016/j.spl.2024.110278
Sambit Panda , Cencheng Shen , Ronan Perry , Jelle Zorn , Antoine Lutz , Carey E. Priebe , Joshua T. Vogelstein
The K-sample testing problem involves determining whether K groups of data points are each drawn from the same distribution. Analysis of variance is arguably the most classical method to test mean differences, along with several recent methods to test distributional differences. In this paper, we demonstrate the existence of a transformation that allows K-sample testing to be carried out using any dependence measure. Consequently, universally consistent K-sample testing can be achieved using a universally consistent dependence measure, such as distance correlation and the Hilbert–Schmidt independence criterion. This enables a wide range of dependence measures to be easily applied to K-sample testing.
K 样本检验问题涉及确定 K 组数据点是否分别来自相同的分布。方差分析可以说是检验均值差异的最经典方法,最近还出现了几种检验分布差异的方法。在本文中,我们证明了一种转换的存在,它允许使用任何依赖性度量进行 K 样本检验。因此,普遍一致的 K 样本检验可以使用普遍一致的依赖性度量,如距离相关性和希尔伯特-施密特独立性准则。这样,各种依赖性测量方法就可以轻松地应用于 K 样本测试。
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Statistics & Probability Letters
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