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A new bivariate distribution in natural exponential family

Metrika, 2005
We propose a new bivariate distribution following a GLM form i.e., natural exponential family given the constantly correlated covariance matrix. The proposed distribution can represent an independent bivariate gamma distribution as a special case. In order to derive the distribution we utilize an integrating factor method to satisfy the integrability ...
Masakazu Iwasaki, Hiroe Tsubaki
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eRPCA: Robust Principal Component Analysis for Exponential Family Distributions

Statistical analysis and data mining, 2023
Robust principal component analysis (RPCA) is a widely used method for recovering low‐rank structure from data matrices corrupted by significant and sparse outliers.
Xiaojun Zheng   +3 more
semanticscholar   +1 more source

Cuts in Natural Exponential Families

Theory of Probability & Its Applications, 1996
The concept of cuts [\textit{O. E. Barndorff-Nielsen}, Exponential families and conditioning. Sc. D. Thesis, Univ. Copenhagen (1973; Zbl 0297.62001)], which is intimately connected to the concepts of \(S\)-ancillarity and \(S\)-sufficiency, has been studied in the context of general exponential families.
Barndorff-Nielsen, O. E., Koudou, A. E.
openaire   +3 more sources

Natural exponential families and self-decomposability

Statistics & Probability Letters, 1992
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bar-Lev, Shaul K.   +2 more
openaire   +1 more source

Exponential family tensor completion with auxiliary information

Stat, 2020
Tensor completion is among the most important tasks in tensor data analysis, which aims to fill the missing entries of a partially observed tensor. In many real applications, non‐Gaussian data such as binary or count data are frequently collected.
Jichen Yang, N. Zhang
semanticscholar   +1 more source

Conjugate Parameterizations for Natural Exponential Families

Journal of the American Statistical Association, 1995
Abstract Recently, Consonni and Veronese have shown that the form of the standard conjugate distribution for the mean parameter μ of a univariate natural exponential family F coincides with that of the distribution induced on μ by the standard conjugate distribution for the canonical parameter if and only if F has a quadratic variance function. In this
E. Gutiérrez-Peña, A. F. M. Smith
openaire   +1 more source

Conditional natural exponential families

Statistics & Probability Letters, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Laplace Approximations for Natural Exponential Families with Cuts

Scandinavian Journal of Statistics, 1998
Standard and fully exponential form Laplace approximations to marginal densities are described and conditions under which these give exact answers are investigated. A general result is obtained and is subsequently applied in the case of natural exponential families with cuts, in order to derive the marginal posterior density of the mean parameter ...
Efstathiou, M.   +2 more
openaire   +2 more sources

Natural Exponential Families and Umbral Calculus

1998
We use the Umbral Calculus to investigate the relation between natural exponential families and Sheffer polynomials. As a corollary, we obtain a new transparent proof of Feinsilver’s theorem which says that natural exponential families have a quadratic variance function if and only if their associated Sheffer polynomials are orthogonal.
Di Bucchianico, A., Loeb, D.E.
openaire   +2 more sources

A note on natural exponential families with cuts

Statistics & Probability Letters, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bar-Lev, Shaul K., Pommeret, Denys
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