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These lecture notes are based on lectures given in 2019 Saint-Flour Probability School.

Probability · Mathematics 2020-12-21 Elchanan Mossel

The Wallenius distribution is a generalisation of the Hypergeometric distribution where weights are assigned to balls of different colours. This naturally defines a model for ranking categories which can be used for classification purposes.…

Methodology · Statistics 2018-06-29 Clara Grazian , Fabrizio Leisen , Brunero Liseo

This paper studies, under the setting of spline regression, the connection between finite-sample properties of selection criteria and their asymptotic counterparts, focusing on bridging the gap between the two. We introduce a bias-variance…

Statistics Theory · Mathematics 2007-06-13 S. C. Kou

Structured latent attribute models (SLAMs) are a special family of discrete latent variable models widely used in social and biological sciences. This paper considers the problem of learning significant attribute patterns from a SLAM with…

Methodology · Statistics 2019-06-07 Yuqi Gu , Gongjun Xu

It is introduced the concept of Superiority Degree one competitive decision over another. On the basis of this concept the mathematics theoretic structure is developed, which is part of pairs comparisons branch in modern decision making…

Optimization and Control · Mathematics 2010-03-05 Vladimer Zhukovin , Zurab Alimbarashvili

We consider different choice procedures such as scoring rules, rules, using majority relation, value function and tournament matrix, which are used in social and multi-criteria choice problems. We focus on the study of the properties that…

Optimization and Control · Mathematics 2016-11-03 Sergey Shvydun

An information service for mathematical software is presented. Publications and software are two closely connected facets of mathematical knowledge. This relation can be used to identify mathematical software and find relevant information…

Digital Libraries · Computer Science 2016-08-11 Sebastian Bönisch , Michael Brickenstein , Hagen Chrapary , Gert-Martin Greuel , Wolfram Sperber

Finite frames can be viewed as mass points distributed in $N$-dimensional Euclidean space. As such they form a subclass of a larger and rich class of probability measures that we call probabilistic frames. We derive the basic properties of…

Probability · Mathematics 2017-09-04 Martin Ehler , Kasso A. Okoudjou

The present work pursues the aim to draw attention to unique possibilities of the skew-symmetric differential forms. At present the theory of skew-symmetric exterior differential forms that possess invariant properties has been developed.…

General Mathematics · Mathematics 2007-05-23 L. I. Petrova

This is the second part of a small-scale explorative study in an effort to assess reproducibility issues specific to scientometrics research. This effort is motivated by the desire to generate empirical data to inform debates about…

Digital Libraries · Computer Science 2018-04-16 Theresa Velden , Sybille Hinze , Andrea Scharnhorst , Jesper Wiborg Schneider , Ludo Waltman

We investigate the expressive power of spreadsheets. We consider spreadsheets which contain only formulas, and assume that they are small templates, which can be filled to a larger area of the grid to process input data of variable size.…

Programming Languages · Computer Science 2013-07-30 Jerzy Tyszkiewicz

In this note we briefly review some recent results of the authors on the topological and geometrical properties of 3-cosymplectic manifolds.

Differential Geometry · Mathematics 2012-09-10 Beniamino Cappelletti Montano , Antonio De Nicola , Ivan Yudin

This introductory survey deals with mathematical and physical properties of discrete structures such as point sets and tilings. The emphasis is on proper generalizations of concepts and ideas from classical crystallography. In particular,…

Mathematical Physics · Physics 2007-05-23 Michael Baake

Selective inference aims at providing valid inference after a data-driven selection of models or hypotheses. It is essential to avoid overconfident results and replicability issues. While significant advances have been made in this area for…

Methodology · Statistics 2025-03-14 Matteo D'Alessandro , Magne Thoresen

This paper addresses several questions of Feng, Gruenhage, and Shen which arose from Michael's theory of continuous selections from countable spaces. We construct an example of a space which is $L$-selective but not $\mathbb{Q}$-selective…

General Topology · Mathematics 2019-10-24 William Chen-Mertens , Paul J. Szeptycki

This is a survey on the use of low-degree polynomials to predict and explain the apparent statistical-computational tradeoffs in a variety of average-case computational problems. In a nutshell, this framework measures the complexity of a…

Statistics Theory · Mathematics 2025-06-13 Alexander S. Wein

This article evaluates the determinants of two classes of special matrices, which are both from a number theory problem. Applications of the evaluated determinants can be found in [arXiv:math.NT/0509523]. Note that the two determinants are…

Number Theory · Mathematics 2007-05-23 Shujun Li

Approximate Bayesian computation is an established and popular method for likelihood-free inference with applications in many disciplines. The effectiveness of the method depends critically on the availability of well performing summary…

Machine Learning · Statistics 2018-05-23 Prashant Singh , Andreas Hellander

We study the solubility of the binary additive equation $[m^c] + [p^c] = n$, where $m$ is an integer, $p$ is a prime number, and $c$ is a fixed real number in the range $1 < c < 3/2$.

Number Theory · Mathematics 2010-08-23 Angel V. Kumchev

The article explores an encoding and structural information processing approach using sparse bit vectors and fixed-length linear vectors. The following are presented: a discrete method of speculative stochastic dimensionality reduction of…

Machine Learning · Computer Science 2025-08-05 Dmitriy Kashitsyn , Dmitriy Shabanov
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