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We formulate and prove a general weak limit theorem for quantum random walks in one and more dimensions. With $X_n$ denoting position at time $n$, we show that $X_n/n$ converges weakly as $n \to \infty$ to a certain distribution which is…

Quantum Physics · Physics 2009-11-10 Geoffrey Grimmett , Svante Janson , Petra Scudo

We present a numerical scheme to calculate fluctuation identities for exponential L\'evy processes in the continuous monitoring case. This includes the Spitzer identities for touching a single upper or lower barrier, and the more difficult…

Computational Finance · Quantitative Finance 2017-12-04 Carolyn E. Phelan , Daniele Marazzina , Gianluca Fusai , Guido Germano

We introduce two general non-parametric methods for recovering paths of the Brownian and jump components from high-frequency observations of a L\'evy process. The first procedure relies on reordering of independently sampled normal…

Probability · Mathematics 2022-07-06 Jorge González Cázares , Jevgenijs Ivanovs

We prove that the Barab\'asi-Albert model converges weakly to a set of generalized Yule models via an appropriate scaling. To pursue this aim we superimpose to its graph structure a suitable set of processes that we call the planted model…

Probability · Mathematics 2020-02-25 Angelica Pachon , Federico Polito , Laura Sacerdote

In this paper approximation methods for infinite-dimensional Levy processes, also called (time-dependent) Levy fields, are introduced. For square integrable fields beyond the Gaussian case, it is no longer given that the one-dimensional…

Probability · Mathematics 2017-12-14 Andrea Barth , Andreas Stein

Consider the boundary case in a one-dimensional super-critical branching random walk. It is known that upon the survival of the system, the minimal position after $n$ steps behaves in probability like ${3\over 2} \log n$ when $n\to \infty$.…

Probability · Mathematics 2011-02-02 Elie Aidekon , Zhan Shi

We consider a nonlinear random walk which, in each time step, is free to choose its own transition probability within a neighborhood (w.r.t. Wasserstein distance) of the transition probability of a fixed L\'evy process. In analogy to the…

Probability · Mathematics 2021-04-28 Daniel Bartl , Stephan Eckstein , Michael Kupper

We study the convergence in distribution of the supremum of the local time and of the favorite site for a transient diffusion in a spectrally negative L\'evy potential. To do so, we study the h-valleys of a spectrally negative L\'evy…

Probability · Mathematics 2018-02-27 Grégoire Véchambre

For rare events described in terms of Markov processes, truly unbiased estimation of the rare event probability generally requires the avoidance of numerical approximations of the Markov process. Recent work in the exact and…

Statistics Theory · Mathematics 2021-11-08 James Hodgson , Adam M. Johansen , Murray Pollock

The L\'evy, jumping process, defined in terms of the jumping size distribution and the waiting time distribution, is considered. The jumping rate depends on the process value. The fractional diffusion equation, which contains the variable…

Statistical Mechanics · Physics 2009-06-10 Tomasz Srokowski

Without higher moment assumptions, this note establishes the decay of the Kolmogorov distance in a central limit theorem for L\'evy processes. This theorem can be viewed as a continuous-time extension of the classical random walk result by…

Probability · Mathematics 2021-07-01 David Bang , Jorge Ignacio González Cázares , Aleksandar Mijatović

In this paper we derive weak limits for the discretization errors of sampling barrier-hitting and extreme events of Brownian motion by using the Euler discretization simulation method. Specifically, we consider the Euler discretization…

Probability · Mathematics 2017-08-16 A. B. Dieker , Guido Lagos

We develop a method that relates the truncated cumulant-function of the fourth order with the L\'evian cumulant-function. This gives us explicit formulas for the L\'evy-parameters, which allow a real-time analysis of the state of a…

Statistical Mechanics · Physics 2019-12-04 Alexander Jurisch

We prove several results on the behavior near t=0 of $Y_t^{-t}$ for certain $(0,\infty)$-valued stochastic processes $(Y_t)_{t>0}$. In particular, we show for L\'{e}vy subordinators that the Pareto law on $[1,\infty)$ is the only possible…

Statistics Theory · Mathematics 2012-07-26 Shaul K. Bar-Lev , Andreas Löpker , Wolfgang Stadje

We study symmetric L\'evy flights in a semi-infinite domain $[0,\infty)$ with a reflecting and absorbing boundary at 0. To this end, we use the fractional differential equation that governs the L\'evy process. Incorporating the boundary…

Statistical Mechanics · Physics 2025-09-30 Barnali Pyne , Kiran M. Kolwankar

Long-time limit of one-dimensional L\'{e}vy processes weighted and normalized with respect to the exponential functional of two-point local times are studied. The limit processes may vary according to the choice of random clocks.

Probability · Mathematics 2024-05-02 Kohki Iba , Kouji Yano

For $V : \mathbb{R}^d \to \mathbb{R}$ coercive, we study the convergence rate for the $L^1$-distance of the empiric minimizer, which is the true minimum of the function $V$ sampled with noise with a finite number $n$ of samples, to the…

Statistics Theory · Mathematics 2023-03-09 Pierre Bras

A new shrinkage-based construction is developed for a compressible vector $\boldsymbol{x}\in\mathbb{R}^n$, for cases in which the components of $\xv$ are naturally associated with a tree structure. Important examples are when $\xv$…

Machine Learning · Statistics 2014-01-14 Xin Yuan , Vinayak Rao , Shaobo Han , Lawrence Carin

Let $\{X_n\}_{n\in\mathbb{N}}$ be a sequence of i.i.d. random variables in $\mathbb{Z}^d$. Let $S_k=X_1+...+X_k$ and $Y_n(t)$ be the continuous process on $[0,1]$ for which $Y_n(k/n)=S_k/\sqrt{n}$ $k=1,...,n$ and which is linearly…

Probability · Mathematics 2010-09-06 Zsolt Pajor-Gyulai , Domokos Szász

We construct intrinsic on-and off-diagonal upper and lower estimates for the transition probability density of a L\'evy process in small time. By intrinsic we mean that such estimates reflect the structure of the characteristic exponent of…

Probability · Mathematics 2013-08-09 Victoria Knopova , Alexei Kulik
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