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Limit theorems for a higher order time dependent Markov chain model 高阶时变马尔可夫链模型的极限定理
4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2023-01-01 DOI: 10.37190/0208-4147.00127
Piotr Kokoszka, Tim Kutta, Deepak Singh, None Haonan Wang
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引用次数: 0
Doob's estimate for coherent random variables and maximal operators on trees 相干随机变量和树上最大算子的Doob估计
4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2023-01-01 DOI: 10.37190/0208-4147.00132
Stanisław Cichomski, Adam Osękowski
Let $xi$ be an integrable random variable defined on $(Omega, mathcal{F}, mathbb{P})$. Fix $kin mathbb{Z}_+$ and let ${mathcal{G}_{i}^{j}}_{1le i le n, 1le j le k}$ be a reference family of sub-$sigma$-fields of $mathcal{F}$, such that ${mathcal{G}_{i}^{j}}_{1le i le n}$ is a filtration for each $jin {1,2,dots,k}$. In this article we explain the underlying connection between the analysis of the maximal functions of the corresponding coherent vector and basic combinatorial properties of the uncentered Hardy-Littlewood maximal operator. Following a classical approach of Grafakos, Kinnunen and Montgomery-Smith, we establish an appropriate version of the celebrated Doob's maximal estimate.
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引用次数: 3
Estimation by Stable Motions and its Applications 稳定运动估计及其应用
IF 0.3 4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2023-01-01 DOI: 10.37190/0208-4147.00091
Anirban Das, M. Denker, A. Levina, Lucia Tabacu
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引用次数: 0
Moment inequalities for nonnegative random variables 非负随机变量的矩不等式
4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2023-01-01 DOI: 10.37190/0208-4147.00106
Netzahualcóyotl Castañeda-Leyva
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引用次数: 0
Fractional Stochastic Differential Equations Driven By G-Brownian Motion with Delays 时滞g -布朗运动驱动的分数阶随机微分方程
IF 0.3 4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2023-01-01 DOI: 10.37190/0208-4147.00092
Akram Saci, A. Redjil, H. Boutabia, O. Kebiri
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引用次数: 0
Ground-state representation for fractional Laplacian on half-line 半线上分数阶拉普拉斯函数的基态表示
4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2023-01-01 DOI: 10.37190/0208-4147.00118
Tomasz Jakubowski, Paweł Maciocha
We give ground-state representation for the fractional Laplacian with Dirichlet condition on the half-line
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引用次数: 0
Large deviations for uniform projections of $p$-radial distributions on $ell_p^n$-balls $p$-径向分布在$ell_p^n$-球上均匀投影的大偏差
IF 0.3 4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2022-03-01 DOI: 10.37190/0208-4147.00084
T. Kaufmann, H. Sambale, Christoph Thale
We consider products of uniform random variables from the Stiefel manifold of orthonormal kframes in R, k ≤ n, and random vectors from the n-dimensional lp -ball B n p with certain pradial distributions, p ∈ [1,∞). The distribution of this product geometrically corresponds to the projection of the p-radial distribution on Bp onto a random k-dimensional subspace. We derive large deviation principles (LDPs) on the space of probability measures on R for sequences of such projections.
我们考虑R,k≤n中正交k帧的Stiefel流形上的一致随机变量与具有某些普适分布的n维lp-ball Bn p上的随机向量的乘积,p∈[1,∞)。该乘积的分布在几何上对应于Bp上的p径向分布在随机k维子空间上的投影。我们导出了这种投影序列在R上的概率测度空间上的大偏差原理。
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引用次数: 0
Pattern recovery and signal denoising by SLOPE when the design matrix is orthogonal 设计矩阵正交时SLOPE的模式恢复和信号去噪
IF 0.3 4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2022-02-17 DOI: 10.37190/0208-4147.00066
T. Skalski, P. Graczyk, Bartosz Kołodziejek, Maciej Wilczy'nski
Sorted (cid:96) 1 Penalized Estimator (SLOPE) is a relatively new convex regularization method for fitting high-dimensional regression models. SLOPE allows to reduce the model dimension by shrinking some estimates of the regression coefficients completely to zero or by equating the absolute values of some nonzero estimates of these coefficients. This allows to identify situations where some of true regression coefficients are equal. In this article we will introduce the SLOPE pattern, i.e., the set of relations between the true regression coefficients, which can be identified by SLOPE. We will also present new results on the strong consistency of SLOPE estimators and on the strong consistency of pattern recovery by SLOPE when the design matrix is orthogonal and illustrate advantages of the SLOPE clustering in the context of high frequency signal denoising.
排序(cid:96)1惩罚估计(SLOPE)是一种相对较新的凸正则化方法,用于拟合高维回归模型。SLOPE允许通过将回归系数的一些估计值完全缩小为零或通过将这些系数的一些非零估计值的绝对值相等来降低模型维数。这允许识别一些真实回归系数相等的情况。在这篇文章中,我们将介绍SLOPE模式,即真实回归系数之间的一组关系,它可以通过SLOPE来识别。当设计矩阵是正交的时,我们还将给出关于SLOPE估计量的强一致性和关于通过SLOPE进行的模式恢复的强一致度的新结果,并说明SLOPE聚类在高频信号去噪背景下的优势。
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引用次数: 7
One dimensional reflected BSDEs with two barriers under logarithmic growth and applications 对数增长下具有两个势垒的一维反射BSDE及其应用
IF 0.3 4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2022-02-10 DOI: 10.37190/0208-4147.00067
B. E. Asri, Khalid Oufdil, Nacer Ourkiya
In this paper we deal with the problem of the existence and the uniqueness of a solution for one dimensional reflected backward stochastic differential equations with two strictly separated barriers when the generator is allowing a logarithmic growth (|y|| ln |y||+ |z| √ | ln |z||) in the state variables y and z. The terminal value ξ and the obstacle processes (Lt)0≤t≤T and (Ut)0≤t≤T are L-integrable for a suitable p > 2. The main idea is to use the concept of local solution to construct the global one. As applications, we broaden the class of functions for which mixed zero-sum stochastic differential games admit an optimal strategy and the related double obstacle partial differential equation problem has a unique viscosity solution.
本文研究了一类具有两个严格分离障碍的一维反射后向随机微分方程在状态变量y和z上允许对数增长(|y|| ln |y||+ |z|√| ln |z||)时解的存在性和唯一性问题。对于一个合适的p |,终端值ξ和障碍过程(Lt)0≤t≤t和(Ut)0≤t≤t是l可积的。其主要思想是用局部解决方案的概念来构建全局解决方案。作为应用,我们扩大了混合零和随机微分对策具有最优策略的函数类别,以及相关的双障碍偏微分方程问题具有唯一粘性解。
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引用次数: 1
On the Semi-Mittag-Leffler Distributions 关于半mittag - leffler分布
IF 0.3 4区 数学 Q4 STATISTICS & PROBABILITY Pub Date : 2022-01-01 DOI: 10.37190/0208-4147.00055
Gwo Dong Lin, Chin-Yuan Hu
. The semi-Mittag-Leffler (SML) distribution arises as the marginal of a stationary Markovian process, and is a generalization of the well-known Mittag-Leffler (ML) or positive Linnik distribution. Unlike the ML distribution, which has been well established, few properties of the SML distribution are discussed in the literature. In this paper, we derive some more characterizations of the SML and related distributions. By using stochastic inequalities, we further extend some characterizations, including Pitman and Yor’s (2003) result about the hyperbolic sine distribution.
. 半Mittag-Leffler (SML)分布产生于平稳马尔可夫过程的边缘,是著名的Mittag-Leffler (ML)或正林尼克分布的推广。与ML分布不同的是,SML分布的性质在文献中很少被讨论。在本文中,我们得到了SML和相关分布的更多特征。通过使用随机不等式,我们进一步扩展了一些特征,包括Pitman和Yor(2003)关于双曲正弦分布的结果。
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引用次数: 0
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Probability and Mathematical Statistics-Poland
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