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Bayesian deep learning (BDL) has emerged as a principled approach to produce reliable uncertainty estimates by integrating deep neural networks with Bayesian inference, and the selection of informative prior distributions remains a…

Machine Learning · Computer Science 2026-02-26 Pengcheng Hao , Ercan Engin Kuruoglu

In this paper, we present several path properties, simulations, inferences, and generalizations of the weighted sub-fractional Brownian motion. A primary focus is on the derivation of the covariance function $R_{f,b}(s,t)$ for the weighted…

Probability · Mathematics 2024-09-10 Ramirez-Gonzalez Jose Hermenegildo , Sun Ying

We study the behaviour of a natural measure defined on the leaves of the genealogical tree of some branching processes, namely self-similar growth-fragmentation processes. Each particle, or cell, is attributed a positive mass that evolves…

Probability · Mathematics 2019-08-13 François Gaston Ged

The relationship is established between the Fedosov deformation quantization of a general symplectic manifold and the BFV-BRST quantization of constrained dynamical systems. The original symplectic manifold $\mathcal M$ is presented as a…

High Energy Physics - Theory · Physics 2009-10-31 M. A. Grigoriev , S. L. Lyakhovich

We use the framework of $\textit{fixed-point BCFT tensor networks}$ to present a microscopic CFT derivation of the correspondence between reflected entropy (RE) and entanglement wedge cross section (EW) in AdS$_3$/CFT$_2$, for both…

High Energy Physics - Theory · Physics 2026-02-17 Ning Bao , Jinwei Chu , Yikun Jiang , Jacob March

Fractional Brownian motion is a Gaussian stochastic process with stationary, long-time correlated increments and is frequently used to model anomalous diffusion processes. We study numerically fractional Brownian motion confined to a finite…

Statistical Mechanics · Physics 2019-03-22 T. Guggenberger , G. Pagnini , T. Vojta , R. Metzler

We study the local-in-time regularity of the Brownian motion with respect to localized variants of modulation spaces M^{p, q}_s and Wiener amalgam spaces W^{p, q}_s. We show that the periodic Brownian motion belongs locally in time to M^{p,…

Functional Analysis · Mathematics 2011-08-19 Árpád Bényi , Tadahiro Oh

The paper introduces a new meshfree pseudospectral method based on Gaussian radial basis functions (RBFs) collocation to solve fractional Poisson equations. Hypergeometric functions are used to represent the fractional Laplacian of Gaussian…

Numerical Analysis · Mathematics 2024-01-01 Xiaochuan Tian , Yixuan Wu , Yanzhi Zhang

We study weighted Besov and Triebel--Lizorkin spaces associated with Hermite expansions and obtain (i) frame decompositions, and (ii) characterizations of continuous Sobolev-type embeddings. The weights we consider generalize the…

Classical Analysis and ODEs · Mathematics 2021-01-11 The Anh Bui , Ji Li , Fu Ken Ly

Fractional Brownian motion (FBM), a non-Markovian self-similar Gaussian stochastic process with long-ranged correlations, represents a widely applied, paradigmatic mathematical model of anomalous diffusion. We report the results of…

Fluxbrane-like backgrounds obtained from flat space by a sequence of T-dualities and shifts of polar coordinates (beta deformations) provide an interesting class of exactly solvable string theories. We compute the one-loop partition…

High Energy Physics - Theory · Physics 2009-11-11 Marcus Spradlin , Tadashi Takayanagi , Anastasia Volovich

We develop local elliptic regularity for operators having coefficients in a range of Sobolev-type function spaces (Bessel potential, Sobolev-Slobodeckij, Triebel-Lizorkin, Besov) where the coefficients have a regularity structure typical of…

Analysis of PDEs · Mathematics 2023-06-29 Michael Holst , David Maxwell , Gantumur Tsogtgerel

We study the localization property of antisymmetric tensor fields in the locally localized gravity models. It is shown that all the antisymmetric tensor fields, including the vector field, in a bulk space-time are trapped on an $AdS$ brane…

High Energy Physics - Theory · Physics 2009-11-07 Ichiro Oda

The present paper is concerned with new Besov-type space of variable smoothness. Nonlinear spline-approximation approach is used to give atomic decomposition of such space. Characterization of the trace space on hyperplane is also obtained.

Functional Analysis · Mathematics 2015-09-02 A. I. Tyulenev

Likelihood inference for max-stable random fields is in general impossible because their finite-dimen\-sional probability density functions are unknown or cannot be computed efficiently. The weighted composite likelihood approach that…

Statistics Theory · Mathematics 2022-09-21 Nicolas Chenavier , Christian Y. Robert

The universal density functional $F$ of density-functional theory is a complicated and ill-behaved function of the density-in particular, $F$ is not differentiable, making many formal manipulations more complicated. Whilst $F$ has been well…

Chemical Physics · Physics 2015-06-18 Simen Kvaal , Ulf Ekström , Andrew M. Teale , Trygve Helgaker

We establish strong uniqueness for a class of degenerate SDEs of weak H{\"o}rmander type under suitable H{\"o}lder regularity conditions for the associated drift term. Our approach relies on the Zvonkin transform which requires to exhibit…

Probability · Mathematics 2020-09-30 Paul-Eric Chaudru de Raynal , Igor Honoré , Stephane Menozzi

We construct a simple algorithm to derive number density of spin 1/2 particles created in spatially flat FLRW spacetimes and resulting renormalized energy-momentum tensor within the framework of adiabatic regularization. Physical quantities…

General Relativity and Quantum Cosmology · Physics 2016-03-23 Suman Ghosh

We study fractional variants of the quasi-norms introduced by Brezis, Van Schaftingen, and Yung in the study of the Sobolev space $\dot W^{1,p}$. The resulting spaces are identified as a special class of real interpolation spaces of…

Functional Analysis · Mathematics 2022-12-08 Óscar Domínguez , Andreas Seeger , Brian Street , Jean Van Schaftingen , Po-Lam Yung

In this work we develop a well-defined theory of orbit spaces for piecewise smooth vector fields (PSVFs). This approach is inspired by the techniques already used in the study of endomorphisms, namely inverse limit analysis, and has been…

Dynamical Systems · Mathematics 2025-10-07 Otávio M. L. Gomide , Pedro G. Mattos , Régis Varão
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