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Gaussian processes (GPs) are commonly used as models for functions, time series, and spatial fields, but they are computationally infeasible for large datasets. Focusing on the typical setting of modeling data as a GP plus an additive noise…

Methodology · Statistics 2020-12-22 Matthias Katzfuss , Joseph Guinness

Artin approximation and other related approximation results are used in various areas. The traditional formulation of such results is restricted to filtrations by powers of ideals, $\{I^j\}$, and to Noetherian rings. In this paper we extend…

Commutative Algebra · Mathematics 2020-05-14 Genrich Belitskii , Alberto F. Boix , Dmitry Kerner

This paper develops a probabilistic approximation scheme for a class of nonstandard, fully nonlinear second-order partial integro-differential equations (PIDEs) associated with nonlinear Levy processes under Peng's G-expectation framework.…

Probability · Mathematics 2026-04-24 Lianzi Jiang , Mingshang Hu , Gechun Liang

We generalize Dirichlet's diophantine approximation theorem to approximating any real number $\alpha$ by a sum of two rational numbers $\frac{a_1}{q_1} + \frac{a_2}{q_2}$ with denominators $1 \leq q_1, q_2 \leq N$. This turns out to be…

Number Theory · Mathematics 2007-05-23 Tsz Ho Chan

This work is concerned with the identification problem for what we call the perturbation term or error term in a parabolic partial differential equation, through its approximate periodic solutions. The observation is made over a subregion…

Optimization and Control · Mathematics 2007-05-23 Ling Lei

To present Mercer large-scale kernel machines from a ridge function perspective, we recall the results by Lin and Pinkus from {\it Fundamentality of ridge functions}. We consider the main result of the recent paper by Rachimi and Recht,…

Machine Learning · Computer Science 2026-05-21 Karol Dziedziul , Sergey Kryzhevich , Paweł Wieczyński

Belief Propagation (BP) is one of the most popular methods for inference in probabilistic graphical models. BP is guaranteed to return the correct answer for tree structures, but can be incorrect or non-convergent for loopy graphical…

Artificial Intelligence · Computer Science 2012-06-22 Siamak Ravanbakhsh , Chun-Nam Yu , Russell Greiner

This article is dedicated to research of approximation properties of B-splines and Lagrangian finite elements in Hilbert spaces of functions defined on surfaces in three-dimensional space. Hereinafter the conditions are determined for…

Numerical Analysis · Mathematics 2018-01-09 Olexandr Polishchuk

The main purpose of this paper is to compare the convergence properties of Pad\'e approximants and rational Hermite-Pad\'e approximants for some model class of multivalued analytic functions based of the inverse Zhoukovsky transform. We…

Complex Variables · Mathematics 2026-05-15 Nikolay R. Ikonomov , Sergey P. Suetin

The aim of this work is to establish that two recently published projection theorems, one dealing with a parametric generalization of relative entropy and another dealing with R\'{e}nyi divergence, are equivalent under a correspondence on…

Information Theory · Computer Science 2019-05-07 P. N. Karthik , Rajesh Sundaresan

We prove a variant of the Mergelyan approximation theorem that allows us to approximate functions that are analytic and nonvanishing in the interior of a compact set K with connected complement, and whose interior is a Jordan domain, with…

Complex Variables · Mathematics 2013-01-11 Johan Andersson

In this paper, we give direct theorems on point wise and global approximation by new variants of Bernstein-Durrmeyer operator, introduced by A.-M. et al.[1].

Classical Analysis and ODEs · Mathematics 2020-05-11 Asha Ram Gairola , Karunesh Kumar Singh

The Riccati inequality and equality are studied for infinite dimensional linear discrete time stationary systems with respect to the scattering supply rate. The results obtained are an addition to and based on our earlier work on the…

Functional Analysis · Mathematics 2016-09-02 D. Z. Arov , M. A. Kaashoek , D. R. Pik

In many physical, statistical, biological and other investigations it is desirable to approximate a system of points by objects of lower dimension and/or complexity. For this purpose, Karl Pearson invented principal component analysis in…

Machine Learning · Computer Science 2011-05-10 A. N. Gorban , A. Y. Zinovyev

We survey the classical results of the Dirichlet Approximation Theorem.

Classical Analysis and ODEs · Mathematics 2007-05-23 Yong-Cheol Kim

Based on the theory of Fermat reals we introduce new topologies on spaces of Colombeau generalized points and derive some of their fundamental properties. In particular, we obtain metric topologies on the space of near-standard generalized…

Functional Analysis · Mathematics 2012-01-19 Paolo Giordano , Michael Kunzinger

By a result of Vallette, we put a sensible model structure on the category of conilpotent Lie coalgebras. This gives us a powerful tool to study the subcategory of Lie algebras obtained by linear dualization, also known as the category of…

Quantum Algebra · Mathematics 2018-08-08 Daniel Robert-Nicoud

Motivated by the work on hypergeometric summation theorems (recorded in the table III of Prudnikov et al. pp. 541-546), we have established some new summation theorems for Clausen's hypergeometric functions with unit argument in terms of…

Classical Analysis and ODEs · Mathematics 2018-06-22 M. I. Qureshi , Mohd Shadab

In this paper, we study the existence of higher order Poisson type systems. In detail, we prove a Residue type phenomenon for the fundamental solution of Laplacian in $\RR^n, n\ge 3$. This is analogous to the Residue theorem for the Cauchy…

Analysis of PDEs · Mathematics 2013-04-01 Yifei Pan , Yuan Zhang

We analyze the Gaussian approximation as a method to obtain the first and second moments of a stochastic process described by a master equation. We justify the use of this approximation with ideas coming from van Kampen's expansion approach…

Statistical Mechanics · Physics 2015-05-18 Luis F. Lafuerza , Raul Toral
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