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In this work we give a sense to the notion of orientation for self-similar Gaussian fields with stationary increments, based on a Riesz analysis of these fields, with isotropic zero-mean analysis functions. We propose a structure tensor…

经典分析与常微分方程 · 数学 2018-11-30 Kévin Polisano , Marianne Clausel , Valérie Perrier , Laurent Condat

Consider the sum of $d$ many i.i.d. random permutation matrices on $n$ labels along with their transposes. The resulting matrix is the adjacency matrix of a random regular (multi)-graph of degree $2d$ on $n$ vertices. It is known that the…

概率论 · 数学 2014-07-29 Tobias Johnson , Soumik Pal

These are lecture notes from a course given at the CRM in Montreal in 1992. They survey the author's attempts to find and understand canonical probabilistic entities in a local field (e.g. p-adic) setting. We propose answers to the related…

概率论 · 数学 2007-05-23 Steven N. Evans

We consider large-scale point fields which naturally appear in the context of the Kardar-Parisi-Zhang (KPZ) phenomenon. Such point fields are geometrical objects formed by points of mass concentration, and by shocks separating the sources…

概率论 · 数学 2022-07-13 Konstantin Khanin , Liying Li , Zhanghan Yin

It is well known that Gaussian polynomials (i.e., $q$-binomials) describe the distribution of the $area$ statistic on monotone paths in a rectangular grid. We introduce two new statistics, $corners$ and $cindex$; attach ``ornaments'' to the…

组合数学 · 数学 2020-04-07 Magnus Aspenberg , Rodrigo Pérez

We provide a new approach, along with extensions, to results in two important papers of Worsley, Siegmund and coworkers closely tied to the statistical analysis of fMRI (functional magnetic resonance imaging) brain data. These papers…

概率论 · 数学 2013-02-20 Robert J. Adler , Eliran Subag , Jonathan E. Taylor

Two algorithms are proposed to simulate space-time Gaussian random fields with a covariance function belonging to an extended Gneiting class, the definition of which depends on a completely monotone function associated with the spatial…

统计计算 · 统计学 2019-12-05 Denis Allard , Xavier Emery , Céline Lacaux , Christian Lantuéjoul

Several classical results on boundary crossing probabilities of Brownian motion and random walks are extended to asymptotically Gaussian random fields, which include sums of i.i.d. random variables with multidimensional indices,…

概率论 · 数学 2007-05-23 Hock Peng Chan , Tze Leung Lai

We propose a macroscopic realization of planar Brownian motion by vertically vibrated disks. We perform a systematic statistical analysis of many random trajectories of individual disks. The distribution of increments is shown to be almost…

统计力学 · 物理学 2018-12-19 Yann Lanoiselée , Guillaume Briand , Olivier Dauchot , Denis S. Grebenkov

We compute the bispectrum of primordial density perturbations in CMB to second order in the slow-roll parameters of single field inflation. We correct previous results and found that next-to-leading order corrections can be of the same…

高能物理 - 理论 · 物理学 2026-03-31 Ignatios Antoniadis , Auttakit Chatrabhuti , Jules Cunat , Hiroshi Isono

We consider Gaussian subordinated L\'evy fields (GSLFs) that arise by subordinating L\'evy processes with positive transformations of Gaussian random fields on some spatial domain $\mathcal{D}\subset \mathbb{R}^d$, $d\geq 1$. The resulting…

概率论 · 数学 2022-08-03 Robin Merkle , Andrea Barth

Dzhaparidze and Spreij [5] showed that the quadratic variation of a semimartingale can be approximated using a randomized periodogram. We show that the same approximation is valid for a special class of continuous stochastic processes. This…

概率论 · 数学 2012-03-07 Ehsan Azmoodeh , Esko Valkeila

We consider scalar field theory defined over a direct product of the real and $p$-adic numbers. An adjustable dynamical scaling exponent $z$ enters into the microscopic lagrangian, so that the Gaussian theories provide a line of fixed…

高能物理 - 理论 · 物理学 2020-01-29 Steven S. Gubser , Christian Jepsen , Ziming Ji , Brian Trundy

We study the peak height distribution of certain non-stationary Gaussian random fields. The explicit peak height distribution of smooth, non-stationary Gaussian processes in 1D with general covariance is derived. The formula is determined…

统计方法学 · 统计学 2025-02-19 Yu Zhao , Dan Cheng , Samuel Davenport , Armin Schwartzman

This paper considers the orthogonal expansion of the fractional Brownian motion relative to the Legendre polynomials. Such an expansion has not only theoretical but also practical interest, since it can be applied to approximate and…

概率论 · 数学 2026-01-13 Konstantin A. Rybakov

We explore the super-horizon evolution of the two-point and three-point correlation functions of the primordial density perturbation in randomly-generated multi-field potentials. We use the Transport method to evolve perturbations and give…

宇宙学与河外天体物理 · 物理学 2015-06-03 Jonathan Frazer , Andrew R Liddle

We show that Einstein's main equations for stationary axisymmetric fields in vacuum are equivalent to the motion equations for bosonic strings moving on a special nonflat background. This new representation is based on the analysis of…

数学物理 · 物理学 2011-03-02 Francisco J. Hernandez , Francisco Nettel , Hernando Quevedo

We consider a versatile matrix model of the form ${\bf A}+i {\bf B}$, where ${\bf A}$ and ${\bf B}$ are real random circulant matrices with independent but, in general, nonidentically distributed Gaussian entries. For this model, we derive…

数学物理 · 物理学 2025-04-29 Sunidhi Sen , Himanshu Shekhar , Santosh Kumar

We compute the amplitude of the non-Gaussianities in inflationary models with multiple, uncoupled scalar fields. This calculation thus applies to all models of assisted inflation, including N-flation, where inflation is driven by multiple…

天体物理学 · 物理学 2010-10-27 Thorsten Battefeld , Richard Easther

We examine two stochastic processes with random parameters, which in their basic versions (i.e., when the parameters are fixed) are Gaussian and display long range dependence and anomalous diffusion behavior, characterized by the Hurst…

概率论 · 数学 2024-10-16 Hubert Woszczek , Agnieszka Wylomanska , Aleksei Chechkin