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We give estimates on the rate of convergence in the Boolean central limit theorem for the L\'evy distance. In the case of measures with bounded support we obtain a sharp estimate by giving a qualitative description of this convergence.

Probability · Mathematics 2017-11-27 Octavio Arizmendi , Mauricio Salazar

In this article, we first obtain, for the Kolmogorov distance, an error bound between a tempered stable and a compound Poisson distribution and also an error bound between a tempered stable and an alpha stable distribution via Stein method.…

Probability · Mathematics 2024-08-20 Kalyan Burman , Neelesh S Upadhye , Palaniappan Vellaisamy

We develop a unified mathematical framework for certified Top-$k$ attention truncation that quantifies approximation error at both the distribution and output levels. For a single attention distribution $P$ and its Top-$k$ truncation $\hat…

Machine Learning · Computer Science 2025-12-09 Georgios Tzachristas , Lei Deng , Ioannis Tzachristas , Gong Zhang , Renhai Chen

In this letter we study the weak-convergence properties of random variables generated by unsharp quantum measurements. More precisely, for a sequence of random variables generated by repeated unsharp quantum measurements, we study the limit…

Quantum Physics · Physics 2020-08-12 Aleksandra Dimić , Borivoje Dakić

In this paper, we propose a monotone approximation scheme for a class of fully nonlinear degenerate partial integro-differential equations (PIDEs) which characterize the nonlinear $\alpha$-stable L\'{e}vy processes under sublinear…

Probability · Mathematics 2024-06-12 Mingshang Hu , Lianzi Jiang , Gechun Liang

We consider the central limit theorem for stable laws in the case of the standardized sum of independent and identically distributed random variables with regular probability density function. By showing decay of different entropy…

Probability · Mathematics 2016-10-12 Giuseppe Toscani

Various quantum analogues of the central limit theorem, which is one of the cornerstones of probability theory, are known in the literature. One such analogue, due to Cushen and Hudson, is of particular relevance for quantum optics. It…

Quantum Physics · Physics 2021-04-05 Simon Becker , Nilanjana Datta , Ludovico Lami , Cambyse Rouzé

In this paper we define the closure under weak convergence of the class of p-tempered {\alpha}-stable distributions. We give necessary and sufficient conditions for convergence of sequences in this class. Moreover, we show that any element…

Probability · Mathematics 2013-06-11 Michael Grabchak

We study non-stationary averaging processes, where each term of a sequence is a weighted average of previous terms, namely $a_{n+1} = \sum_{j=1}^n p_n(j) a_j$. Our results extend classical theory in two distinct regimes. First, we prove a…

Probability · Mathematics 2026-03-18 Saba Lepsveridze , Elchanan Mossel

We prove an exponential decay concentration inequality to bound the tail probability of the difference between the log-likelihood of discrete random variables on a finite alphabet and the negative entropy. The concentration bound we derive…

Probability · Mathematics 2021-06-23 Yunpeng Zhao

We address the problem of proving a Central Limit Theorem for the empirical optimal transport cost, $\sqrt{n}\{\mathcal{T}_c(P_n,Q)-\mathcal{W}_c(P,Q)\}$, in the semi discrete case, i.e when the distribution $P$ is finitely supported. We…

Probability · Mathematics 2021-05-26 Eustasio del Barrio , Alberto González-Sanz , Jean-Michel Loubes

The stratified resampling mechanism is one of the resampling schemes commonly used in the resampling steps of particle filters. In the present paper, we prove a central limit theorem for this mechanism under the assumption that the initial…

Probability · Mathematics 2023-08-07 Roberta Flenghi , Benjamin Jourdain

For probability measures on a complete separable metric space, we present sufficient conditions for the existence of a solution to the Kantorovich transportation problem. We also obtain sufficient conditions (which sometimes also become…

Probability · Mathematics 2007-06-13 S. Ekisheva , C. Houdré

We consider the rates of convergence of the quenched central limit theorem for hitting times of one-dimensional random walks in a random environment. Previous results had identified polynomial upper bounds for the rates of decay which are…

Probability · Mathematics 2021-09-16 Sung Won Ahn , Jonathon Peterson

We prove that the rate of convergence for the central limit theorem in finite free convolution is of order $n^{1/2}$

Probability · Mathematics 2023-10-25 Octavio Arizmendi , Daniel Perales

We prove the annealed Central Limit Theorem for random walks in bistochastic random environments on $Z^d$ with zero local drift. The proof is based on a "dynamicist's interpretation" of the system, and requires a much weaker condition than…

Probability · Mathematics 2009-06-22 Marco Lenci

We prove a central limit theorem for the entropic transportation cost between subgaussian probability measures, centered at the population cost. This is the first result which allows for asymptotically valid inference for entropic optimal…

Statistics Theory · Mathematics 2022-05-05 Eustasio del Barrio , Alberto Gonzalez-Sanz , Jean-Michel Loubes , Jonathan Niles-Weed

For a class of stationary regularly varying and weakly dependent time series, we prove the so-called complete convergence result for the corresponding space-time point processes. As an application of our main theorem, we give a simple proof…

Probability · Mathematics 2019-07-17 Bojan Basrak , Azra Tafro

The present work provides a definitive answer to the problem of quantifying relaxation to equilibrium of the solution to the spatially homogeneous Boltzmann equation for Maxwellian molecules. The beginning of the story dates back to a…

Mathematical Physics · Physics 2012-06-25 Emanuele Dolera , Eugenio Regazzini

We present a rather general method for proving local limit theorems, with a good rate of convergence, for sums of dependent random variables. The method is applicable when a Stein coupling can be exhibited. Our approach involves both…

Probability · Mathematics 2020-07-07 A. D. Barbour , Peter Braunsteins , Nathan Ross
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