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We obtain new sampling discretization results in Orlicz norms on finite dimensional spaces. As applications, we study sampling recovery problems, where the error of the recovery process is calculated with respect to different Orlicz norms.…

Functional Analysis · Mathematics 2024-08-27 Egor Kosov , Sergey Tikhonov

We introduce two new concepts designed for the study of empirical processes. First, we introduce a new Orlicz norm which we call the Bernstein-Orlicz norm. This new norm interpolates sub-Gaussian and sub-exponential tail behavior. In…

Probability · Mathematics 2011-11-22 Sara van de Geer , Johannes Lederer

Concentration inequalities, a major tool in probability theory, quantify how much a random variable deviates from a certain quantity. This paper proposes a systematic convex optimization approach to studying and generating concentration…

Probability · Mathematics 2024-08-30 Celine Moucer , Adrien Taylor , Francis Bach

We introduce a series of numbers which serve as a generalization of Bernoulli, Euler numbers and binomial coefficients. Their properties are applied to solve a probability problem and suggest a statistical test for independence and…

Combinatorics · Mathematics 2013-05-09 Andrey Sarantsev

In this work we design a general method for proving moment inequalities for polynomials of independent random variables. Our method works for a wide range of random variables including Gaussian, Boolean, exponential, Poisson and many…

Probability · Mathematics 2012-06-11 Warren Schudy , Maxim Sviridenko

The basic disentanglement theorem established by the present authors states that estimates on a weighted geometric mean over (convex) families of functions can be disentangled into quantitatively linked estimates on each family separately.…

Functional Analysis · Mathematics 2023-07-06 Anthony Carbery , Timo S. Hänninen , Stefán Ingi Valdimarsson

We investigate concentration inequalities for Dirichlet and Multinomial random variables.

Machine Learning · Computer Science 2020-02-03 Jian Qian , Ronan Fruit , Matteo Pirotta , Alessandro Lazaric

We consider decoupling inequalities for random variables taking values in a Banach space $X$. We restrict the class of distributions that appear as conditional distributions while decoupling and show that each adapted process can be…

Probability · Mathematics 2018-06-01 Sonja Cox , Stefan Geiss

A new characterization of the exponential type Orlicz spaces generated by the functions $\exp(|x|^p)-1$ ($p\ge 1$) is given. We define norms for centered random variables belonging to these spaces. We show equivalence of these norms with…

Probability · Mathematics 2019-12-24 Krzysztof Zajkowski

The aim of this paper is investigating of Orlicz spaces with exponential function and correspondence Orlicz norm: we introduce some new equivalent norms, obtain the tail characterization, study the product of functions in Orlicz spaces etc.…

Functional Analysis · Mathematics 2007-05-23 Eugene Ostrovsky

In this paper we obtain a decoupling feature of the random interlacements process $\mathcal{I}^u \subset \mathbb{Z}^d$, at level $u$, $d\geq 3$. More precisely, we show that the trace of the random interlacements process on two disjoint…

Probability · Mathematics 2019-11-06 Diego F. de Bernardini , Christophe Gallesco , Serguei Popov

We study the approximation of non-negative multi-variate couplings in the uniform norm while matching given single-variable marginal constraints.

Probability · Mathematics 2021-08-25 Ugo Bindini , Tapio Rajala

Strichartz estimates are derived from $\ell^2$-decoupling for phase functions satisfying a curvature condition. Bilinear refinements without loss in the high frequency are discussed. Estimates are established from uniform curvature…

Analysis of PDEs · Mathematics 2021-06-15 Robert Schippa

Let $\mathbf{W}=(W_1,W_2,...,W_k)$ be a random vector with nonnegative coordinates having nonzero and finite variances. We prove concentration inequalities for $\mathbf{W}$ using size biased couplings that generalize the previous univariate…

Probability · Mathematics 2013-10-22 Subhankar Ghosh , Umit Islak

A Stein-Tomas type inequality and a (weak) decoupling inequality are proved by using the polynomial partitioning method. Both estimates are related closely to Waring's problem.

Classical Analysis and ODEs · Mathematics 2023-09-25 Xiaochun Li

We establish an exponential inequality for degenerated $U$-statistics of order $r$ of i.i.d. data. This inequality gives a control of the tail of the maxima absolute values of the $U$-statistic by the sum of two terms: an exponential term…

Probability · Mathematics 2019-11-14 Davide Giraudo

This paper examines a stochastic deconvolution problem on compact symmetric spaces which is referred to as decompounding. This involves estimating the step distributions of a random walk, where in addition the number of steps between…

Statistics Theory · Mathematics 2026-04-20 Erik Kennerland

We provide necessary and sufficient conditions for the coincidence, up to equivalence of the norms, between strong and weak Orlicz spaces. Roughly speaking, this coincidence holds true only for the so-called exponential spaces. We find also…

Functional Analysis · Mathematics 2019-01-01 Maria Rosaria Formica , Eugeny Ostrovsky

We prove sharp $\ell^{p}L^{p}$ decoupling inequalities for $2$ quadratic forms in $4$ variables. We also recover several previous results (arXiv:1409.1634, arXiv:1501.07224, arXiv:1609.02022, arXiv:1609.04107) in a unified way.

Classical Analysis and ODEs · Mathematics 2022-01-04 Shaoming Guo , Pavel Zorin-Kranich

We prove decoupling inequalities for mixed-homogeneous bivariate polynomials, which partially answers a conjecture of Bourgain, Demeter and Kemp.

Classical Analysis and ODEs · Mathematics 2021-10-05 Jianhui Li , Tongou Yang