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The problem of testing hypothesis that a density function has no more than $\mu$ derivatives versus it has more than $\mu$ derivatives is considered. For a solution, the $L^2$ norms of wavelet orthogonal projections on some orthogonal…

统计理论 · 数学 2018-09-11 Bogdan Ćmiel , Karol Dziedziul , Barbara Wolnik

This paper develops a smooth test of goodness-of-fit for elliptical distributions. The test is adaptively omnibus, invariant to affine-linear transformations and has a convenient expression that can be broken into components. These…

统计理论 · 数学 2019-02-12 Gilles R. Ducharme , Pierre Lafaye de Micheaux

We investigate the use of jets to measure transverse momentum dependent distributions (TMDs). The example we use to present our framework is the dijet momentum decorrelation at lepton colliders. Translating this momentum decorrelation into…

高能物理 - 唯象学 · 物理学 2018-10-24 Daniel Gutierrez-Reyes , Ignazio Scimemi , Wouter J. Waalewijn , Lorenzo Zoppi

We study the transverse momentum distribution of hadrons within jets, where the transverse momentum is defined with respect to the standard jet axis. We consider the case where the jet substructure measurement is performed for an inclusive…

高能物理 - 唯象学 · 物理学 2017-11-16 Zhong-Bo Kang , Xiaohui Liu , Felix Ringer , Hongxi Xing

Numerical solutions of differential equations are usually not smooth functions. However, they should resemble the smoothness of the corresponding real solutions in one way or another. In two of our recent papers, a kind of spacial…

数值分析 · 数学 2012-07-13 Tong Sun

LHC measurements involve cuts on several observables, but resummed calculations are mostly restricted to single variables. We show how the resummation of a class of double-differential measurements can be achieved through an extension of…

高能物理 - 唯象学 · 物理学 2015-06-23 Massimiliano Procura , Wouter J. Waalewijn , Lisa Zeune

We study the question of testing structured properties (classes) of discrete distributions. Specifically, given sample access to an arbitrary distribution $D$ over $[n]$ and a property $\mathcal{P}$, the goal is to distinguish between…

数据结构与算法 · 计算机科学 2016-01-22 Clément L. Canonne , Ilias Diakonikolas , Themis Gouleakis , Ronitt Rubinfeld

Jets are algorithmic proxies of hard scattered partons, i.e. quarks and gluons, in high energy particle collisions. The STAR collaboration presents the first measurements of substructure observables at the first, second and third splits in…

高能物理 - 实验 · 物理学 2021-08-02 Raghav Kunnawalkam Elayavalli

In this paper, we study the differential smoothness of 3-dimensional skew polynomial algebras and diffusion algebras.

微分几何 · 数学 2021-06-02 Armando Reyes , Cristian Sarmiento

Jet broadening is an event-shape variable probing the transverse momenta of particles inside jets. It has been measured precisely in e+e- annihilations and is used to extract the strong coupling constant. The factorization of the associated…

高能物理 - 唯象学 · 物理学 2015-05-27 Thomas Becher , Guido Bell , Matthias Neubert

A new approach to detect change points based on differential smoothing and multiple testing is presented for long data sequences modeled as piecewise constant functions plus stationary ergodic Gaussian noise. As an application of the STEM…

统计理论 · 数学 2019-11-20 Dan Cheng , Zhibing He , Armin Schwartzman

Heteroskedastic errors can lead to inaccurate statistical conclusions if they are not properly handled. We introduce a test for heteroskedasticity for the nonparametric regression model with multiple covariates. It is based on a suitable…

统计方法学 · 统计学 2018-02-21 Justin Chown , Ursula U. Müller

Testing procedures for assessing specific parametric model forms, or for checking the plausibility of simplifying assumptions, play a central role in the mathematical treatment of the uncertain. No certain answers are obtained by testing…

统计方法学 · 统计学 2020-09-22 Eduardo García-Portugués , Rosa M. Crujeiras , Wenceslao González-Manteiga

We propose a test for model specification of a parametric diffusion process based on a kernel estimation of the transitional density of the process. The empirical likelihood is used to formulate a statistic, for each kernel smoothing…

统计理论 · 数学 2009-09-29 Song Xi Chen , Jiti Gao , Cheng Yong Tang

In this paper we consider the uniformity testing problem for high-dimensional discrete distributions (multinomials) under sparse alternatives. More precisely, we derive sharp detection thresholds for testing, based on $n$ samples, whether a…

统计理论 · 数学 2022-02-17 Bhaswar B. Bhattacharya , Rajarshi Mukherjee

The objective of goodness-of-fit testing is to assess whether a dataset of observations is likely to have been drawn from a candidate probability distribution. This paper presents a rank-based family of goodness-of-fit tests that is…

A fundamental notion of distance between train and test distributions from the field of domain adaptation is discrepancy distance. While in general hard to compute, here we provide the first set of provably efficient algorithms for testing…

数据结构与算法 · 计算机科学 2024-06-14 Gautam Chandrasekaran , Adam R. Klivans , Vasilis Kontonis , Konstantinos Stavropoulos , Arsen Vasilyan

Jet substructure variables aim to reveal details of the parton fragmentation and hadronization processes that create a jet. By removing collinear radiation while maintaining the soft radiation components, one can construct CollinearDrop jet…

核实验 · 物理学 2023-07-19 Youqi Song

This article provides a general iterative approximation to partial differential equations, and thus establish existence of smooth solution. The heart of the method is to contract (or expand) the boundary conditions uniformly in the domain,…

偏微分方程分析 · 数学 2024-07-16 Chang Gao

Broadening is a classic jet observable that probes the transverse momentum structure of jets. Traditionally, broadening has been measured with respect to the thrust axis, which is aligned along the (hemisphere) jet momentum to minimize the…

高能物理 - 唯象学 · 物理学 2015-06-18 Andrew J. Larkoski , Duff Neill , Jesse Thaler
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