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Related papers: A Nonstandard Approach to Equidistribution

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Increasing practical interest has been shown in regression problems where the errors, or disturbances, are centred in a way that reflects particular characteristics of the mechanism that generated the data. In economics this occurs in…

Statistics Theory · Mathematics 2009-09-07 Peter Hall , Ingrid Van Keilegom

We introduce a generalization of the universal valuation semiring defined by Jeffrey and Noah Giansiracusa. We then explicitly characterize the additive structure of this semiring and show that, when applied to $\mathbb Q$, this…

Rings and Algebras · Mathematics 2023-05-16 William Bernardoni

For EBSD ab-initio indexing, a new method that adopts several methods originally invented for powder indexing, is reported. Distribution rules of systematic absence and error-stable Bravais lattice determination are used to eliminate…

Materials Science · Physics 2020-11-17 R. Oishi-Tomiyasu , T. Tanaka , J. Nakagawa

We introduce a simple extension of the $\lambda$-calculus with pairs---called the distributive $\lambda$-calculus---obtained by adding a computational interpretation of the valid distributivity isomorphism $A \Rightarrow (B\wedge C)\ \…

Logic in Computer Science · Computer Science 2020-10-23 Beniamino Accattoli , Alejandro Díaz-Caro

We offer an axiomatic definition of a differential algebra of generalized functions over an algebraically closed non-Archimedean field. This algebra is of Colombeau type in the sense that it contains a copy of the space of Schwartz…

Functional Analysis · Mathematics 2015-03-18 Todor D. Todorov

Since the two seminal papers by Fisher (1915, 1921) were published, the test under a fixed value correlation coefficient null hypothesis for the bivariate normal distribution constitutes an important statistical problem. In the framework of…

Statistics Theory · Mathematics 2022-09-27 María Jaenada , Elena Castilla , Nirian Martín , Leandro Pardo

This article aims to extend classical homological results about the rational normal curves to analogues in weighted projective spaces. Results include determinantality and nonstandard versions of quadratic generation and the Koszul…

Commutative Algebra · Mathematics 2025-06-11 Caitlin M. Davis , Aleksandra Sobieska

We investigate and compare the fundamental performance of several distributed learning methods that have been proposed recently. We do this in the context of a distributed version of the classical signal-in-Gaussian-white-noise model, which…

Statistics Theory · Mathematics 2017-11-10 Botond Szabo , Harry van Zanten

We introduce a family of adaptive estimators on graphs, based on penalizing the $\ell_1$ norm of discrete graph differences. This generalizes the idea of trend filtering [Kim et al. (2009), Tibshirani (2014)], used for univariate…

Machine Learning · Statistics 2016-06-07 Yu-Xiang Wang , James Sharpnack , Alex Smola , Ryan J. Tibshirani

We give an existence proof for distribution solutions to a scalar reaction diffusion equation, with the aim of illustrating both the differences and the common ingredients of the nonstandard and standard approaches. In particular, our proof…

Analysis of PDEs · Mathematics 2019-08-14 Connor Olson , Marshall Mueller , Sigurd B. Angenent

The classical Lojasiewicz inequality and its extensions for partial differential equation problems (Simon) and to o-minimal structures (Kurdyka) have a considerable impact on the analysis of gradient-like methods and related problems:…

Optimization and Control · Mathematics 2008-02-07 Jerome Bolte , Aris Daniilidis , Olivier Ley , Laurent Mazet

We will give an elementary nonstandard proof that the family of generalized blancmange functions are nowhere differentiable. The proof follows from the intuitive characterization of differentiability at a point as almost $\delta$ affine…

Classical Analysis and ODEs · Mathematics 2013-07-01 Tom McGaffey

Recent methods for estimating sparse undirected graphs for real-valued data in high dimensional problems rely heavily on the assumption of normality. We show how to use a semiparametric Gaussian copula--or "nonparanormal"--for high…

Machine Learning · Statistics 2009-03-05 Han Liu , John Lafferty , Larry Wasserman

The theory of equidistribution is about hundred years old, and has been developed primarily by number theorists and theoretical computer scientists. A motivated uninitiated peer could encounter difficulties perusing the literature, due to…

Probability · Mathematics 2018-12-04 Vlada Limic , Nedžad Limić

By means of several examples, we motivate that universal properties are the simplest way to solve a given mathematical problem, explaining in this way why they appear everywhere in mathematics. In particular, we present the co-universal…

Functional Analysis · Mathematics 2024-04-25 Djamel eddine Kebiche , Paolo Giordano

We study the asymptotic properties of the conormal cycle of nodal sets associated to a random superposition of eigenfunctions of the Laplacian on a smooth compact Riemannian manifold without boundary. In the case where the dimension is odd,…

Spectral Theory · Mathematics 2016-04-04 Nguyen Viet Dang , Gabriel Riviere

Fujii investigated the uniform distribution of various sequences associated with the non-trivial zeros of the Riemann zeta function by evaluating certain exponential sums over these zeros. In this paper, we present analogous results for a…

Number Theory · Mathematics 2025-10-10 Hideki Murahara , Tomokazu Onozuka

Non standard analysis is an area of Mathematics dealing with notions of infinitesimal and infinitely large numbers, in which many statements from classical analysis can be expressed very naturally. Cheap non-standard analysis introduced by…

Logic in Computer Science · Computer Science 2019-01-01 Olivier Bournez , Sabrina Ouazzani

We present several results that show somewhat surprising equidistribution patterns in the asymptotic behaviour of the argument of entire functions of finite order.

Complex Variables · Mathematics 2007-05-23 Fedor Nazarov , Mikhail Sodin

Motivated by the problem of testing tetrad constraints in factor analysis, we study the large-sample distribution of Wald statistics at parameter points at which the gradient of the tested constraint vanishes. When based on an…

Statistics Theory · Mathematics 2016-01-18 Mathias Drton , Han Xiao