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Expressions for scaling limits of random walks, such as those obtained in several areas of the Probability theory literature, are of great significance in characterizing long term, stationary behavior of random processes. Presumably, in the…

Probability · Mathematics 2026-01-06 Pete Rigas

We review statistical properties of models generated by the application of a (positive and negative order) fractional derivative operator to a standard random walk and show that the resulting stochastic walks display slowly-decaying…

Statistical Mechanics · Physics 2009-11-13 H. Eduardo Roman , Markus Porto

We prove a non-standard functional limit theorem for a two dimensional simple random walk on some randomly oriented lattices. This random walk, already known to be transient, has different horizontal and vertical fluctuations leading to…

Probability · Mathematics 2007-05-24 Nadine Guillotin-Plantard , Arnaud Le Ny

The logarithmic slope of the diffractive structure function is a potential observable scanning the hard and soft contributions in diffraction, allowing to disentangle the QCD dynamics. We report our calculations concerning this quantity, in…

High Energy Physics - Phenomenology · Physics 2007-05-23 M. B. Gay Ducati , V. P. Gonçalves , M. V. T. Machado

We present large deviations estimates in the supremum norm for a system of independent random walks superposed with a birth-and-death dynamics evolving on the discrete torus with $N$ sites. The scaling limit considered is the so-called…

Probability · Mathematics 2021-02-26 Tertuliano Franco , Luana A. Gurgel , Bernardo N. B. de Lima

We consider the average number B_m(t) of bonds traversed exactly m times by a t step simple random walk. We determine B_m(t) explicitly in the scaling limit t -> oo with m/sqrt(t) fixed in dimension d=1 and m/log(t) fixed in dimension d=2.…

Statistical Mechanics · Physics 2009-11-07 T. Antal , H. J. Hilhorst , R. K. P. Zia

We provide complementary results for a family of models with dependence on their previous $k$-sum. Using a martingale-based approach, we establish a functional central limit theorem and analyze the limiting behavior of the center of mass.…

Probability · Mathematics 2025-06-17 Víctor Hugo Vázquez Guevara , Manuel González-Navarrete

Inhomogeneous multinomial measures on the mixed symbolic spaces and the real line are given. By counting the zeros of the corresponding generalized Dirichlet polynomials, one obtains a probability measure whose Olsen's functions $b$ and $B$…

Metric Geometry · Mathematics 2013-12-02 Shuang Shen

We consider the problem of estimating the regression function in functional linear regression models by proposing a new type of projection estimators which combine dimension reduction and thresholding. The introduction of a threshold rule…

Methodology · Statistics 2009-12-19 Herve Cardot , Jan Johannes

In this article, we establish a central limit theorem for the capacity of the range process for a class of $d$-dimensional symmetric $\alpha$-stable random walks with the index satisfying $d > 5\alpha /2$. Our approach is based on…

Probability · Mathematics 2021-04-20 Wojciech Cygan , Nikola Sandrić , Stjepan Šebek

We refine the multifractal formalism for the local dimension of a Gibbs measure $\mu$ supported on the attractor $\Lambda$ of a conformal iterated functions system on the real line. Namely, for given $\alpha\in \mathbb{R}$, we establish the…

Dynamical Systems · Mathematics 2019-03-12 Johannes Jaerisch , Hiroki Sumi

Random walks in random scenery are processes defined by $Z_n:=\sum_{k=1}^n\xi_{X_1+...+X_k}$, where $(X_k,k\ge 1)$ and $(\xi_y,y\in{\mathbb Z}^d)$ are two independent sequences of i.i.d. random variables with values in ${\mathbb Z}^d$ and…

Probability · Mathematics 2011-03-24 Fabienne Castell , Nadine Guillotin--Plantard , Françoise Pène

Let $\mu$ be the geometric realization on $[0,1]$ of a Gibbs measure on $\Sigma=\{0,1\}^{\mathbb{N}}$ associated with a H\"older potential. The thermodynamic and multifractal properties of $\mu$ are well known to be linked via the…

Mathematical Physics · Physics 2015-12-15 Julien Barral , Stéphane Seuret

Many complex systems generate multifractal time series which are long-range cross-correlated. Numerous methods have been proposed to characterize the multifractal nature of these long-range cross correlations. However, several important…

Statistical Finance · Quantitative Finance 2015-10-14 Wen-Jie Xie , Zhi-Qiang Jiang , Gao-Feng Gu , Xiong Xiong , Wei-Xing Zhou

For a generalized step reinforced random walk, starting from the origin, the first step is taken according to the first element of an innovation sequence. Then in subsequent epochs, it recalls a past epoch with probability proportional to a…

Probability · Mathematics 2025-05-12 Aritra Majumdar , Krishanu Maulik

We introduce a multistable subordinator, which generalizes the stable subordinator to the case of time-varying stability index. This enables us to define a multifractional Poisson process. We study properties of these processes and…

Probability · Mathematics 2014-09-05 Ilya Molchanov , Kostiantyn Ralchenko

In this paper, we consider a generalization of the elephant random walk model. Compared to the usual elephant random walk, an interesting feature of this model is that the step sizes form a sequence of positive independent and identically…

Probability · Mathematics 2023-02-14 Jérôme Dedecker , Xiequan Fan , Haijuan Hu , Florence Merlevède

Unlike classical simple random walks, one-dimensional random walks in random environments (RWRE) are known to have a wide array of potential limiting distributions. Under certain assumptions, however, it is known that CLT-like limiting…

Probability · Mathematics 2017-04-12 Sung Won Ahn , Jonathon Peterson

In this paper, we study the multifractal Hausdorff and packing dimensions of Borel probability measures and study their behaviors under orthogonal projections. In particular, we try through these results to improve the main result of M. Dai…

Metric Geometry · Mathematics 2019-11-01 Bilel Selmi

The partial least squares procedure was originally developed to estimate the slope parameter in multivariate parametric models. More recently it has gained popularity in the functional data literature. There, the partial least squares…

Statistics Theory · Mathematics 2012-05-30 Aurore Delaigle , Peter Hall
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