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Related papers: Comment: Gibbs Sampling, Exponential Families, and…

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Languages for open-universe probabilistic models (OUPMs) can represent situations with an unknown number of objects and iden- tity uncertainty. While such cases arise in a wide range of important real-world appli- cations, existing general…

Artificial Intelligence · Computer Science 2012-03-19 Nimar S. Arora , Rodrigo de Salvo Braz , Erik B. Sudderth , Stuart Russell

In this paper, we propose a new class of distributions by exponentiating the random variables associated with the probability density functions of composite distributions. We also derive some mathematical properties of this new class of…

Methodology · Statistics 2022-04-05 Bowen Liu , Malwane M. A. Ananda

This is a comment on [G. Knight and R. Klages, Phys. Rev. E 84, 041135 (2011); also available at arXiv:1107.5293v2 [math-ph]].

Statistical Mechanics · Physics 2011-11-29 Thomas Gilbert , David P. Sanders

We study orthogonal polynomials for a weight function defined over a domain of revolution, where the domain is formed from rotating a two-dimensional region and goes beyond the quadratic domains. Explicit constructions of orthogonal bases…

Classical Analysis and ODEs · Mathematics 2023-11-28 Yuan Xu

In this work we show how to get advantage from the Riemann--Hilbert analysis in order to obtain first and second order differential equations for the orthogonal polynomials and associated functions with a weight on the unit circle. We…

Classical Analysis and ODEs · Mathematics 2025-08-05 Amílcar Branquinho , Ana Foulquié-Moreno , Karina Rampazzi

Exponential varieties arise from exponential families in statistics. These real algebraic varieties have strong positivity and convexity properties, familiar from toric varieties and their moment maps. Among them are varieties of inverses…

Algebraic Geometry · Mathematics 2017-05-17 Mateusz Michałek , Bernd Sturmfels , Caroline Uhler , Piotr Zwiernik

Inference for statistics of a stationary time series often involve nuisance parameters and sampling distributions that are difficult to estimate. In this paper, we propose the method of orthogonal samples, which can be used to address some…

Methodology · Statistics 2016-11-03 Suhasini Subba Rao

Orthogonal polynomials have very useful properties in the solution of mathematical problems, so recent years have seen a great deal in the field of approximation theory using orthogonal polynomials. In this paper, we characterize the…

Classical Analysis and ODEs · Mathematics 2015-10-30 Mohammad A. AlQudah

We study orthogonal polynomials on a fully symmetric planar domain $\Omega$ that is generated by a certain triangle in the first quadrant. For a family of weight functions on $\Omega$, we show that orthogonal polynomials that are even in…

Classical Analysis and ODEs · Mathematics 2025-09-15 Yuan Xu

We establish a one-to-one correspondence between the set of minimal exponential families of dimension n defined on a finite sample space {\Omega} and the affine Grassmannian associated to an appropriate vector space of functions.

Differential Geometry · Mathematics 2025-02-20 Danuzia Nascimento Figueirêdo , Hale Aytaç , Mathieu Molitor

The existing methods to obtain an exact-fit polynomial does not give the resulting polynomial in its standard form, and further manipulations are needed to obtain that. The new method presented here gives the coefficients of the polynomial…

Numerical Analysis · Mathematics 2025-10-20 Manish Kumar

Generalizations of Bell polynomials, Bell numbers, and Stirling numbers of the second kind have been introduced and their generating functions were evaluated.

Mathematical Physics · Physics 2015-05-20 Nick Laskin

We show that a method proposed recently, based on the characteristic polynomial of an effective Hamiltonian, had been developed several years earlier by other authors in a clearer and more general way. We outline both implementations of the…

Quantum Physics · Physics 2024-12-17 Francisco M. Fernández

In this paper we build on the work of \cite{kaber} where it was shown that the one-parameter family of Gegenbauer Polynomials (GP) exhibit a Gibbs Phenomenon at a jump discontinuity. We show that the one-parameter family of Generalized…

Mathematical Physics · Physics 2022-11-24 John Cullinan , Santanu Antu

In this work we show how to get advantage from the Riemann--Hilbert analysis in order to obtain information about the matrix orthogonal polynomials and functions of second kind associated with a weight matrix. We deduce properties for the…

Classical Analysis and ODEs · Mathematics 2023-06-01 Amílcar Branquinho , Ana Foulquié-Moreno , Assil Fradi , Manuel Mañas

In this present work, we discuss the Bayesian inference for the bivariate pseudo-exponential distribution. Initially, we assume independent gamma priors and then pseudo-gamma priors for the pseudo-exponential parameters. We are primarily…

Methodology · Statistics 2023-06-27 Banoth Veeranna

This semi-expository paper surveys results concerning three classes of orthogonal polynomials: in one non-hermitian variable, in several isometric non-commuting variables, and in several hermitian non-commuting variables. The emphasis is on…

Functional Analysis · Mathematics 2007-05-23 T. Banks , T. Constantinescu , J. L. Johnson

Let $A$ be a subset of $\mathbb{Z} / N\mathbb{Z}$ and let $\mathcal{R}$ be the set of large Fourier coefficients of $A$. Properties of $\mathcal{R}$ have been studied in works of M.-- C. Chang, B. Green and the author. In the paper we…

Number Theory · Mathematics 2007-05-23 I. D. Shkredov

Let $p$ be an odd prime. In the paper we collect the author's various conjectures on congruences modulo $p$ or $p^2$, which are concerned with sums of binomial coefficients, Lucas sequences, power residues and special binary quadratic…

Number Theory · Mathematics 2013-02-07 Zhi-Hong Sun

In this paper we consider the notions of binomial thinning, binomial mixing, their generalizations, certain interplay between them, associated limit theorems and provide various examples.

Probability · Mathematics 2022-09-02 Offer Kella , Andreas Löpker
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