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A class of probability distributions is characterized via equalities in law between two order statistics shifted by independent exponential variables. An explicit formula for the quintile function of the identified family of distributions…

概率论 · 数学 2011-07-26 M. Ahsanullah , V. B. Nevzorov , George P. Yanev

Equilibrium statistical physics is considered from the point of view of statistical estimation theory. This involves the notions of statistical model, of estimators, and of exponential family. A useful property of the latter is the…

统计力学 · 物理学 2016-08-31 Jan Naudts

We extend results of Damanik and Tcheremchantsev on estimating transport exponents to initial states supported on more than one site. These general results for upper and lower bounds are then applied to several classes of models, including…

谱理论 · 数学 2016-10-19 Vitalii Gerbuz

This paper introduces two families of probability distributions for Bayesian analysis of hypertoroidal data. The first family consists of symmetric distributions derived from the projection of multivariate normal distributions under…

统计方法学 · 统计学 2025-12-02 Shogo Kato , Gianluca Mastrantonio , Masayuki Ishikawa

This article considers exponential families of truncated multivariate normal distributions with one-sided truncation for some or all coordinates. We observe that if all components are one-sided truncated then this family is not full. The…

统计理论 · 数学 2025-07-02 Michael Levine , Donald Richards , Jianxi Su

The notion of generalised exponential family is considered in the restricted context of nonextensive statistical physics. Examples are given of models belonging to this family. In particular, the q-Gaussians are discussed and it is shown…

统计力学 · 物理学 2009-11-13 Jan Naudts

The {\lambda}-exponential family has recently been proposed to generalize the exponential family. While the exponential family is well-understood and widely used, this it not the case of the {\lambda}-exponential family. However, many…

统计理论 · 数学 2024-06-21 Thomas Guilmeau , Emilie Chouzenoux , Víctor Elvira

The mathematical properties of a family of generalized beta distribution, including beta-normal, skewed-t, log-F, beta-exponential, beta-Weibull distributions have recently been studied in several publications. This paper applies these…

统计方法学 · 统计学 2007-10-26 J. H. Sepanski , Lingji Kong

We consider parametric exponential families of dimension $K$ on the real line. We study a variant of \textit{boundary crossing probabilities} coming from the multi-armed bandit literature, in the case when the real-valued distributions form…

机器学习 · 统计学 2017-05-25 Odalric-Ambrym Maillard

This note shows that the matrix forms of several one-parameter distribution families satisfy a hierarchical low-rank structure. Such families of distributions include binomial, Poisson, and $\chi^2$ distributions. The proof is based on a…

数值分析 · 数学 2019-12-02 Jun Qin , Lexing Ying

This work studies the large sample properties of the posterior-based inference in the curved exponential family under increasing dimension. The curved structure arises from the imposition of various restrictions on the model, such as moment…

统计理论 · 数学 2017-10-05 Alexandre Belloni , Victor Chernozhukov

We first observe that the (co)domains of the q-deformed functions are some subsets of the (co)domains of their ordinary counterparts, thereby deeming the deformed functions to be incomplete. In order to obtain a complete definition of…

统计力学 · 物理学 2015-05-13 Thomas Oikonomou , G. Baris Bagci

We consider natural and general exponential families $(Q_m)_{m\in M}$ on $\mathbb{R}^d$ parametrized by the means. We study the submodels $(Q_{\theta m_1+(1-\theta)m_2})_{\theta\in[0,1]}$ parametrized by a segment in the means domain,…

概率论 · 数学 2014-02-07 Piotr Graczyk , Salha Mamane

As well known, cumulant expansion is an alternative way to moment expansion to fully characterize probability distributions provided all the moments exist. If this is not the case, the so called escort mean values (or q-moments) have been…

统计力学 · 物理学 2015-05-18 Antonio Rodriguez , Constantino Tsallis

The exponential family is well known in machine learning and statistical physics as the maximum entropy distribution subject to a set of observed constraints, while the geometric mixture path is common in MCMC methods such as annealed…

机器学习 · 计算机科学 2021-01-18 Rob Brekelmans , Frank Nielsen , Alireza Makhzani , Aram Galstyan , Greg Ver Steeg

Using the technique developed in approximation theory, we construct examples of exponential families of infinitely divisible laws which can be viewed as deformations of the normal, gamma, and Poisson exponential families. Replacing the…

统计理论 · 数学 2007-06-13 Wlodzimierz Bryc , Mourad Ismail

A proof of the Cram\'er-Rao inequality for prediction is presented under conditions of $L^2$-differentiability of the family of distributions of the model. The assumptions and the proof differ from those of Miyata (2001) who also proved…

统计理论 · 数学 2014-04-14 Emmanuel Onzon

In this second part of our survey on the social and natural distributions, we investigate some models, which intend to explain the statistical regularity of the natural and social distributions. There is a large variety of models and in…

物理与社会 · 物理学 2016-07-05 L. Benguigui , M. Marinov

It is well-known that each statistic in the family of power divergence statistics, across $n$ trials and $r$ classifications with index parameter $\lambda\in\mathbb{R}$ (the Pearson, likelihood ratio and Freeman-Tukey statistics correspond…

统计理论 · 数学 2021-12-28 Robert E. Gaunt

Francis Castro, et al [2] computed the exact divisibility of families of exponential sums associated to binomials $F(X) = aX^{d_1} + bX^{d_2}$ over $\mathbb{F}_p$, and a conjecture is presented for related work. Here we study this question.

数论 · 数学 2019-06-18 Xiaogang Liu