Results 301 to 310 of about 4,943,403 (353)

The Exponential Family

An Introduction to Chaotic Dynamical Systems, 2021
R. Devaney
semanticscholar   +2 more sources

A Simple Exponential Family Framework for Zero-Shot Learning

ECML/PKDD, 2017
We present a simple generative framework for learning to predict previously unseen classes, based on estimating class-attribute-gated class-conditional distributions.
V. Verma, Piyush Rai
semanticscholar   +1 more source

The shifted exponential-G family of distributions : Properties and applications

Journal of Statistics & Management Systems, 2021
This article introduces a new generator called the shifted exponential-G (SHE-G) generator for generating continuous distributions. The proposed model extends the existing shifted exponential and the exponential family of distributions.
J. T. Eghwerido, F. Agu, O. Ibidoja
semanticscholar   +1 more source

Conjugate Exponential Family Priors For Exponential Family Likelihoods

Statistics, 1993
General classes of conjugate exponential family priors are identified for exponential family likelihoods. Both joint and conditional specification of the priors are discussed. The normal and inverse Gaussian cases provide illustrations.
Barry C. Arnold, Enrique Castillo, Jose María Sarabia   +2 more
openaire   +1 more source

‘Exponential mixtures and quadratic exponential families’

Biometrika, 1994
Correlated responses are common in many fields of application such as time series, spatial statistics and longitudinal studies. In medical statistics and in epidemiological studies, correlation can arise because of cluster sampling. Individuals in a cluster have in common unobserved traits, either genetic or environmental, as a result of which their ...
openaire   +2 more sources

Exponential Family Restricted Boltzmann Machines and Annealed Importance Sampling

IEEE International Joint Conference on Neural Network, 2018
In this paper, we investigate restricted Boltzmann machines (RBMs) from the exponential family perspective, en-abling the visible units to follow any suitable distributions from the exponential family.
Yifeng Li, Xiao-Dan Zhu
semanticscholar   +1 more source

Family of Exponentiated Exponential Distribution

2015
As was mentioned, in Chap. 1, that Gompertz (1825) raised the extreme value distribution to a positive parameter. Verhulst (1847) introduced the following CDF of a random variable X.
Essam K. AL-Hussaini, Mohammad Ahsanullah   +1 more
openaire   +1 more source

Unimodality and Exponential Families

Communications in Statistics - Simulation and Computation, 1973
Relationships between uninodality, strong unimodality and canonical exponential families axe studied. Furthermore, some considerations axe given pertaining to the duality viewpoint as applied to the sampling and the likelihood aspects of statistical models.
openaire   +3 more sources

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

Stability for Multivariate Exponential Families

Journal of Mathematical Sciences, 2001
Let \(E\) be a Euclidean space, let \(Z :\Omega\to E\) be a nondegenerate random vector, and suppose there is an open convex set \(D\subset E\) such that \(P(Z\in \overline{D}) = 1\). If \(\mu\) is the distribution of \(Z\), define measures \(\mu_\lambda\) by \(d\mu_\lambda(x) = e^{\lambda x}d\mu(x)\), \(x\in E\), for any \(\lambda\) in the dual space \
Balkema, A. A., Klüppelberg, C., Resnick, S. I.   +2 more
openaire   +2 more sources