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We consider minimal non-negative Jacobi operator with $p\times p-$matrix entries. Using the technique of boundary triplets and the corresponding Weyl functions, we describe the Friedrichs and Krein extensions of the minimal Jacobi operator.…

Spectral Theory · Mathematics 2017-01-24 Aleksandra Ananieva , Nataly Goloshchapova

New exceptional (i.e. non-repeating) prime number multiplets are given and formulated in terms of arithmetic progressions, along with laws governing them. Accompanying repeating prime number multiplets are pointed out. Prime number…

Number Theory · Mathematics 2011-05-23 H. J. Weber

We introduce a comprehensive method for establishing stochastic orders among order statistics in the i.i.d. case. This approach relies on the assumption that the underlying distribution is linked to a reference distribution through a…

Methodology · Statistics 2024-11-22 Tommaso Lando Idir Arab , Paulo Eduardo Oliveira

This paper is concerned with the characterizations of the Friedrichs extension for a class of singular discrete linear Hamiltonian systems. The existence of recessive solutions and the existence of the Friedrichs extension are proved under…

Spectral Theory · Mathematics 2023-11-16 Guojing Ren , Guixin Xu

Models based on preferential attachment have had much success in reproducing the power law degree distributions which seem ubiquitous in both natural and engineered systems. Here, rather than assuming preferential attachment, we give an…

Statistical Mechanics · Physics 2007-05-23 N. Berger , C. Borgs , J. T. Chayes , R. M. D'Souza , R. D. Kleinberg

The Friedrichs extension of minimal linear relation being bounded below and associated with the discrete symplectic system with a special linear dependence on the spectral parameter is characterized by using recessive solutions. This…

Spectral Theory · Mathematics 2024-12-23 Petr Zemánek

We leverage the Minimum Description Length (MDL) principle as a model selection technique for Bernoulli distributions and compare several types of MDL codes. We first present a simplistic crude two-part MDL code and a Normalized Maximum…

Information Theory · Computer Science 2016-10-04 Marc Boullé , Fabrice Clérot , Carine Hue

The prior distribution for the unknown model parameters plays a crucial role in the process of statistical inference based on Bayesian methods. However, specifying suitable priors is often difficult even when detailed prior knowledge is…

Methodology · Statistics 2020-03-18 Marcelo Hartmann , Georgi Agiashvili , Paul Bürkner , Arto Klami

This paper proposes a connection method \`a la Bibel for an exception-tolerant family of description logics (DLs). As for the language, we assume the DL $\mathcal{ALCH}$ extended with two typicality operators: one on (complex) concepts and…

Logic in Computer Science · Computer Science 2023-06-23 Renan Fernandes , Fred Freitas , Ivan Varzinczak , Pedro PM Farias

A sequence of random variables is exchangeable if its joint distribution is invariant under variable permutations. We introduce exchangeable variable models (EVMs) as a novel class of probabilistic models whose basic building blocks are…

Machine Learning · Computer Science 2014-05-06 Mathias Niepert , Pedro Domingos

Objective priors for sequential experiments are considered. Common priors, such as the Jeffreys prior and the reference prior, will typically depend on the stopping rule used for the sequential experiment. New expressions for reference…

Statistics Theory · Mathematics 2008-12-18 Dongchu Sun , James O. Berger

The relationship between the Bayesian approach and the minimum description length approach is established. We sharpen and clarify the general modeling principles MDL and MML, abstracted as the ideal MDL principle and defined from Bayes's…

Machine Learning · Computer Science 2007-07-16 Paul Vitanyi , Ming Li

We use the language of uninformative Bayesian prior choice to study the selection of appropriately simple effective models. We advocate for the prior which maximizes the mutual information between parameters and predictions, learning as…

Data Analysis, Statistics and Probability · Physics 2018-02-16 Henry H. Mattingly , Mark K. Transtrum , Michael C. Abbott , Benjamin B. Machta

In this short paper, we shall provide a dynamical systems' proof of the famous Kraft-McMillan inequality and its converse. Kraft-McMillan inequality is a basic result in information theory which gives a necessary and sufficient condition…

Chaotic Dynamics · Physics 2007-11-01 Nithin Nagaraj

In Bayesian statistics, the selection of noninformative priors is a crucial issue. There have been various discussions on theoretical justification, problems with the Jeffreys prior, and alternative objective priors. Among them, we focus on…

Statistics Theory · Mathematics 2025-05-01 Masaki Yoshioka , Fuyuhiko Tanaka

Fairly allocating indivisible goods is a frequently occurring task in everyday life. Given an initial allocation of the goods, we consider the problem of reforming it via a sequence of exchanges to attain fairness in the form of…

Computer Science and Game Theory · Computer Science 2024-12-30 Sheung Man Yuen , Ayumi Igarashi , Naoyuki Kamiyama , Warut Suksompong

Linear logical frameworks with subexponentials have been used for the specification of among other systems, proof systems, concurrent programming languages and linear authorization logics. In these frameworks, subexponentials can be…

Logic · Mathematics 2019-10-09 Max Kanovich , Stepan Kuznetsov , Vivek Nigam , Andre Scedrov

The construction of affine interval exchange maps with wandering intervals that are semi-conjugate with a given self-similar interval exchange map is strongly related with the existence of the so called minimal sequences associated with…

Dynamical Systems · Mathematics 2018-10-02 Milton Cobo , Rodolfo Gutiérrez-Romo , Alejandro Maass

The aim of this paper is to prove an improved version of the bounded differences inequality for matrix valued functions, by developing the methods of Mackey et al.: "Matrix Concentration Inequalities via the Method of Exchangeable Pairs".…

Probability · Mathematics 2013-02-20 Daniel Paulin

The paper deals with a third order semilinear equation which char- acterizes exponentially shaped Josephson junctions in superconductivity. The initial-boundary problem with Dirichlet conditions is analyzed. When the source term F is a…

Mathematical Physics · Physics 2012-03-08 Monica De Angelis