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Related papers: The minimal log discrepancy

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This paper utilizes the modified signed log-likelihood ratio method for the problem of inference about the common coefficient of variation in several independent normal populations. This method is applicable for both the problem of…

Computation · Statistics 2017-07-14 Mohmammad Reza Kazemi , Ali Akbar Jafari

Discrete scale invariance, which corresponds to a partial breaking of the scaling symmetry, is reflected in the existence of a hierarchy of characteristic scales l0, c l0, c^2 l0,... where c is a preferred scaling ratio and l0 a microscopic…

Statistical Mechanics · Physics 2015-06-25 A. Johansen , D. Sornette

This paper is concerned with the general theme of relating the Large Deviation Principle (LDP) for the invariant measures of stochastic processes to the associated sample path LDP. It is shown that if the sample path deviation function…

Probability · Mathematics 2023-08-10 Anatolii A. Puhalskii

Within the Hamiltonian formulation of diffeomorphism invariant theories we address the problem of how to determine and how to reduce diffeomorphisms outside the identity component.

General Relativity and Quantum Cosmology · Physics 2009-10-30 Domenico Giulini

We establish a discrete analog of the R\'enyi entropy comparison due to Bobkov and Madiman. For log-concave variables on the integers, the min entropy is within log e of the usual Shannon entropy. Additionally we investigate the entropic…

Probability · Mathematics 2021-06-01 James Melbourne , Tomasz Tkocz

In this note I give a description of Lyubeznik's local cohomology invariants for a certain natural class of local rings, namely the ones which have the same local cohomology vanishing as one expects from an isolated singularity. This…

Algebraic Geometry · Mathematics 2011-02-18 Manuel Blickle

Bi-log-concavity of probability measures is a univariate extension of the notion of log-concavity that has been recently proposed in a statistical literature. Among other things, it has the nice property from a modelisation perspective to…

Probability · Mathematics 2019-03-20 Adrien Saumard

This is a short note on the log canonical inversion of adjunction.

Algebraic Geometry · Mathematics 2023-08-08 Osamu Fujino

This article establishes several remarkably simple identities relating certain metric invariants of level curves of real and complex functions. In particular, we relate lengths of level curves to their curvature and to the gradient field of…

Classical Analysis and ODEs · Mathematics 2018-04-24 Pisheng Ding

In this note we define three invariants of contact structures in terms of open books supporting the contact structures. These invariants are the support genus (which is the minimal genus of a page of a supporting open book for the contact…

Geometric Topology · Mathematics 2018-06-27 John B. Etnyre , Burak Ozbagci

Log analysis is an important technique that engineers use for troubleshooting faults of large-scale service-oriented systems. In this study, we propose a novel semi-supervised log-based anomaly detection approach, LogDP, which utilizes the…

Software Engineering · Computer Science 2021-10-06 Yongzheng Xie , Hongyu Zhang , Bo Zhang , Muhammad Ali Babar , Sha Lu

In this article, we give some necessary conditions for the concavity property of minimal $L^2$ integrals degenerating to partial linearity, a charaterization for the concavity degenerating to partial linearity for open Riemann surfaces, and…

Complex Variables · Mathematics 2024-05-07 Shijie Bao , Qi'an Guan , Zheng Yuan

A loop invariant is a property of a loop that remains true before and after each execution of the loop. The identification of loop invariants is a critical step to support automated program safety assessment. Recent advancements in Large…

Software Engineering · Computer Science 2025-11-11 Mostafijur Rahman Akhond , Saikat Chakraborty , Gias Uddin

Measuring distances in a multidimensional setting is a challenging problem, which appears in many fields of science and engineering. In this paper, to measure the distance between two multivariate distributions, we introduce a new measure…

Methodology · Statistics 2024-11-05 Gennaro Auricchio , Giovanni Brigati , Paolo Giudici , Giuseppe Toscani

We define interval spacing as the difference in the order statistics of data over a gap of some width. We derive its density, expected value, and variance for uniform, exponential, and logistic variates. We show that interval spacing is…

Methodology · Statistics 2026-01-30 Greg Kreider

We give a survey on eta invariants including methods of computation and applications in differential topology.

Differential Geometry · Mathematics 2011-04-28 Sebastian Goette

In this paper we give log-convexity properties for solutions to discrete Schr\"odinger equations with different discrete versions of Gaussian decay at two different times. For free evolutions, we use complex analysis arguments to derive…

Analysis of PDEs · Mathematics 2015-06-12 Aingeru Fernández-Bertolin

By means of filters, minimal R_1 and minimal regular topologies are characterized on suitable intervals consisting of non-trivial R_0 topologies.

General Topology · Mathematics 2013-07-05 Maria Luisa Colasante , Dominic van der Zypen

This paper is an attempt to set a justification for making use of some dicrepancy indexes, starting from the classical Maximum Likelihood definition, and adapting the corresponding basic principle of inference to situations where…

Statistics Theory · Mathematics 2021-02-24 Michel Broniatowski

We study the minimal gap statistic for fractional parts of sequences of the form $\mathcal A^\alpha = \{\alpha a(n)\}$ where $\mathcal A = \{a(n)\}$ is a sequence of distinct of integers. Assuming that the additive energy of the sequence is…

Number Theory · Mathematics 2018-05-30 Zeév Rudnick