Results 31 to 40 of about 4,943,403 (353)
Austrian Journal of Statistics, 2022 In this work, the Exponentiated Chen-G family of distributions is studied by generalizing the Chen-G family of distributions through the introduction of an additional shape parameter. The mixture properties of the derived family are studied.
Phillip Awodutire
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Entropy, 2001 : In its modern formulation, the Maximum Entropy Principle was promoted by E.T. Jaynes, starting in the mid-fifties. The principle dictates that one should look for a distribution, consistent with available information, which maximizes the entropy ...
F. Topsøe, P. Harremoeës
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Bayesian Hierarchical Models With Conjugate Full-Conditional Distributions for Dependent Data From the Natural Exponential Family [PDF]
, 2017 We introduce a Bayesian approach for analyzing (possibly) high-dimensional dependent data that are distributed according to a member from the natural exponential family of distributions.
J. Bradley, S. Holan, C. Wikle
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A perfect sampling method for exponential family random graph models [PDF]
arXiv.org, 2017 Generation of deviates from random graph models with nontrivial edge dependence is an increasingly important problem. Here, we introduce a method which allows perfect sampling from random graph models in exponential family form (“exponential family ...
C. Butts
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Reproductive Exponential Families
The Annals of Statistics, 1983 Consider a full and steep exponential model $\mathscr{M}$ with model function $a(\theta)b(x)\exp\{\theta \cdot t(x)\}$ and a sample $x_1, \cdots, x_n$ from $\mathscr{M}$. Let $\bar{t} = \{t(x_1) + \cdots + t(x_n)\}/n$ and let $\bar{t} = (\bar{t}_1, \bar{t}_2)$ be a partition of the canonical statistic $\bar{t}$.
Barndorff-Nielsen, O., Blæsild, P.
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Simple Exponential Family PCA [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2013 Principal component analysis (PCA) is a widely used model for dimensionality reduction. In this paper, we address the problem of determining the intrinsic dimensionality of a general type data population by selecting the number of principal components for a generalized PCA model.
Jun, Li, Dacheng, Tao
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Variations of Hausdorff Dimension in the Exponential Family [PDF]
, 2008 In this paper we deal with the following family of exponential maps $(f_\lambda:z\mapsto \lambda(e^z-1))_{\lambda\in [1,+\infty)}$. Denoting $d(\lambda)$ the hyperbolic dimension of $f_\lambda$.
Havard, Guillaume +2 more
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Concentration and consistency results for canonical and curved exponential-family models of random graphs [PDF]
, 2017 Statistical inference for exponential-family models of random graphs with dependent edges is challenging. We stress the importance of additional structure and show that additional structure facilitates statistical inference.
M. Schweinberger, J. Stewart
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Consistent structure estimation of exponential-family random graph models with block structure [PDF]
Bernoulli, 2017 We consider the challenging problem of statistical inference for exponential-family random graph models based on a single observation of a random graph with complex dependence.
M. Schweinberger
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Double-Exponential-X Family of Distributions: Properties and Applications
Ibn Al-Haitham Journal for Pure and Applied Sciences, 2023 A new family of distribution named Double-Exponential-X family is proposed. The proposed family is generated from the double exponential distribution.
Kehinde Adekunle Bashiru +4 more
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