Asymptotic Distribution of a Kind of Dirichlet Distribution

The Dirichlet distribution that we are concerned with in this paper is very special, in which all parameters are different from each other. We prove that the asymptotic distribution of this kind of Dirichlet distributions is a normal distribution by using the central limit theorem and Slutsky theorem.     

Noncentral quadratic forms of the skew elliptical variables

In this paper the quadratic forms in the skew elliptical variables are studied. A family of the noncentral generalized Dirichlet distributions is introduced and their distribution functions and probability density functions are obtained. The moment generating functions of the quadratic forms in the skew normal variables are obtained. Sufficient and necessary conditions for the quadratic forms in the skew normal variables to have the noncentral generalized Dirichlet distributions are obtained. This leads to the noncentral Cochran's Theorem for the skew normal distribution.     

多项分布与Dirichlet分布概率的相互表示

讨论了四种多项分布尾概率与四种Dirichlet分布尾概率的相互表示,并将结果应用于Majorization理论,得到了多项分布和Dirichlet分布对应的一些性质.同时,结果可应用于多项分布最大、最小参数的贝叶斯推断,在佛罗里达州沃尔顿县白人和黑人的职业状态调查结果中,求出最大、最小参数的后验分布函数以及95%贝叶斯区间估计,模拟结果表明提供的方法具有较好的表现.     

无限级Dirichlet级数

本文研究了右半平面上无限级的Ｄｉｒｉｃｈｌｅｔ级数及随机Ｄｉｒｉｃｈｌｅｔ级数．这里我们给出一个较宽的系数条件,并证明在一定意义上是最好的;计算无限级Ｄｉｒｉｃｈｌｅｔ级数的精确级;把随机级数的研究引向一般得多的非同分布情况,并得到右半平面上非同分布的无限级随机Ｄｉｒｉｃｈｌｅｔ级数几乎必然（ａ．ｓ．）以虚轴上的每一点为没有有限例外值的Ｂｏｒｅｌ点的结论．     

多级评分及其Bayes估计

对多级评分的测验题型 ,给出了其Bayes模型 ,在无信息先验分布或先验分布是Dirichlet分布情形下求出了参数的Bayes估计 ,并对后者在不同样本条件下给出了先验分布超参数的估计     

退化矩阵Liouville,Beta,Dirichlet分布

该文引进和讨论了退化矩阵Liouville分布，由此导出退化矩阵Beta分布、退化矩阵Dirichlet分布．推广了文献［1］关于退化Wishart分布和秩为1的退化矩阵Beta分布的结果。     

New prior near-ignorance models on the simplex

The aim of this paper is to derive new near-ignorance models on the probability simplex, which do not directly involve the Dirichlet distribution and, thus, are alternative to the Imprecise Dirichlet Model (IDM). We focus our investigation on a particular class of distributions on the simplex which is known as the class of Normalized Infinitely Divisible (NID) distributions; it includes the Dirichlet distribution as a particular case. For this class it is possible to derive general formulae for prior and posterior predictive inferences, by exploiting the Lévy–Khintchine representation theorem. This allows us to generally characterize the near-ignorance properties of the NID class. After deriving these general properties, we focus our attention on three members of this class. We will show that one of these near-ignorance models satisfies the representation invariance principle and, for a given value of the prior strength, always provides inferences that encompass those of the IDM. The other two models do not satisfy this principle, but their imprecision depends linearly or almost linearly on the number of observed categories; we argue that this is sometimes a desirable property for a predictive model.     

全平面内随机Dirichlet级数的几个定理

利用Nevanlinna 理论研究了全平面内随机Dirichlet 级数所表示的整函数的增长性和值分布,得到全平面内水平带形上的几个新的定理,推广了以往研究半平面内水平半带形上关于增长性和值分布的一些相关结论。     

A note on the representation of parametric models for multivariate extremes

In this note, the representations of extremal Dirichlet and logistic distributions are reviewed and extended. These new representations allow exact simulations of the spectral distribution functions and an extension of the extremal logistic case to dimensions higher than two.      

半平面上的随机Dirichlet级数

研究右半平面上的随机Dirichlet级数．为此需要给定一个系数条件,有的文章对此有专门研究．这里首先给出一个较宽的系数条件,并证明在一定意义上是最好的．通常随机级数研究的是同分布随机变量序列,这里通过推广Paley－Zygmund引理,把随机级数的研究引向一般得多的不要求同分布的情况．由于这些是研究随机级数的基础内容．因此应用该文的结论及方法,可以推广和改良一系列定理,并使得有关问题的研究变得方便简洁．     

On the asymptotic independence of Dirichlet series

The joint limit distribution of functions given by Dirichlet series is studied. The necessary and sufficient condition when this distribution is a product of marginal distributions is found. An example of such Dirichlet series with linear independent systems of exponents is presented. Partially supported by the Lithuanian State Science and Studies Foundation. Vilnius University, Naugarduko 24, 2006 Vilnius; Šiauliai University, P. Višinskio 25, 5419 Šiauliai, Lithuania. Translated from Lietuvos Matematikos Rinkinys, Vol. 39, No. 1, pp. 65–73, January–March, 1999. Translated by A. Laurinčikas     

关于DIRICHLET L-函数的四次加权均值分布

利用经典K LOOSTERM ANN和估计、特征和的性质及其解析方法讨论了D IRICH LET L-函数的四次加权均值分布,得出一个有趣的加权均值分布定理.     

THE VALUE DISTRIBUTION OF RANDOM ANALYTIC DIRICHLET SERIES OF NEUTRAL GROWTH(I)

1IntroductionandtheMainResultTheBorelpointsofrandomanajyticDirichletserieshavebeenstudied[1'2]oilthecon(litiollthatthecoefficientsoftherandomDirichletseriesareindependentrandomvariables,sucfl;lstheRademacliersequencettheSteinhausesequence!andtheN-sequence.[1]Thepresentpaperdealswiththesimilarproblem,andintendstoobtainmoreaccurate(inasence)resultthan[2,Theorem4]evenifthecoefficientsofrandomDirichletseriesareassumedtobeamartingaledifferencesequence.ConsidertherandomDirichletseriesfi(s)=Zn=I…     

Wavelet modeling of priors on triangles

Parameters in statistical problems often live in a geometry of certain shape. For example, count probabilities in a multinomial distribution belong to a simplex. For these problems, Bayesian analysis needs to model priors satisfying certain constraints imposed by the geometry. This paper investigates modeling of priors on triangles by use of wavelets constructed specifically for triangles. Theoretical analysis and numerical simulations show that our modeling is flexible and is superior to the commonly used Dirichlet prior.     

Unordered and ordered sample from dirichlet distribution

Consider the random Dirichlet partition of the interval inton fragments with parameter π>0. Explicit results on the statistical structure of its size-biased permutation are recalled, leading to (unordered) Ewens and (ordered) Donnelly-Tavaré-Griffiths sampling formulae from finite Dirichlet partitions. We use these preliminary statistical results on frequencies distribution to address the following sampling problem: what are the intervals between new sampled categories when sampling is from Dirichlet populations? The results obtained are in accordance with the ones found in sampling theory from random proportions with GEM(γ) distribution. These can be obtained from Dirichlet model when considering the Kingman limitn↑∞, π↓0 whilenπ=γ>0.     

An inequality for multiple convolutions with respect to Dirichlet probability measure

A sharp multiple convolution inequality with respect to Dirichlet probability measure on the standard simplex is presented. Its discrete version in terms of the negative binomial coefficients is proved as well. The new bounds for the Dirichlet distribution and iterated convolutions are obtained as the consequences of the main result. Also some binomial, exponential, and generalized hypergeometric applications are discussed.     

椭球等高矩阵分布关于非奇异矩阵变换的不变性

本文首先将矩阵F分布和矩阵t分布的定义推广到左球分布类,其密度函数与产生它们的左球分布或球对称分布的密度均无关.然后讨论了椭球等高分布关于非奇异矩阵变换的不变性问题,包括矩阵Beta分布、逆矩阵Beta分布、矩阵Dirichlet分布、逆矩阵Dirichlet分布、矩阵F分布和矩阵t等分布.在非奇异变换下,这些分布的密度不但与产生它们的左球分布的密度函数无关,而且与非奇异变换矩阵无关.     

Quantitative Approximation to the Ordered Dirichlet Distribution under Varying Basic Probability Spaces

An approximate expansion of a sequence of ordered Dirichlet densities is given under the set-up with varying dimensions of the relating basic probability spaces. The problem is handled as the approximation to the joint distribution of an increasing number of selected order statistics based on the random sample drawn from the uniform distribution U(0, 1). Some inverse factorial series to the expansion of logarithmic function enable us to give quantitative error evaluations to our problem. With the help of them the relating modified K-L information number, which is defined on an approximate main domain and different from the usual ones, is accurately evaluated. Further, the proof of the approximate joint normality of the selected order statistics is more systematically presented than those given in existing works. Concerning the approximate normality the modified affinity and the half variation distance are also evaluated.     

关于奇数Goldbach问题

本文通过Ｌ函数非零区域的扩张及相应的素数分布均值问题的研究证明了：每一个奇数Ｎ≥ｅｘｐ（ｅｘｐ（９．７１５））都能够表示成为三个素数之和．     

Size biased sampling from the Dickman subordinator

The Dickman function and associated distribution play a prominent role in probabilistic number theory and in the theory of Poisson–Dirichlet distributions. These distributions in turn are closely related to properties of ordered jumps of subordinators. In the present paper we derive some remarkable invariance properties and other identities for the Dickman subordinator, related to the large jumps of the process. The implications of this for size-biased sampling from the Dickman distribution are drawn out.