Results 61 to 70 of about 39,105 (170)

Using Geometry to Select One Dimensional Exponential Families That Are Monotone Likelihood Ratio in the Sample Space, Are Weakly Unimodal and Can Be Parametrized by a Measure of Central Tendency

Entropy, 2014
One dimensional exponential families on finite sample spaces are studied using the geometry of the simplex Δn°-1  and that of a transformation Vn-1 of its interior.
Paul Vos, Karim Anaya-Izquierdo
doaj   +1 more source

Pairs of Function Spaces and Exponential Dichotomy on the Real Line

Advances in Difference Equations, 2010
We provide a complete diagram of the relation between the admissibility of pairs of Banach function spaces and the exponential dichotomy of evolution families on the real line. We prove that if W∈ℋ(ℝ) and V∈𝒯(ℝ)
Adina Luminiţa Sasu
doaj   +1 more source

Deep Exponential Families

, 2014
We describe \textit{deep exponential families} (DEFs), a class of latent variable models that are inspired by the hidden structures used in deep neural networks. DEFs capture a hierarchy of dependencies between latent variables, and are easily generalized to many settings through exponential families.
Ranganath, Rajesh, Tang, Linpeng, Charlin, Laurent, Blei, David M.   +3 more
openaire   +2 more sources

Chentsov’s theorem for exponential families [PDF]

Information Geometry, 2018
Minor wording ...
openaire   +3 more sources

On the Fisher Metric of Conditional Probability Polytopes

Entropy, 2014
We consider three different approaches to define natural Riemannian metrics on polytopes of stochastic matrices. First, we define a natural class of stochastic maps between these polytopes and give a metric characterization of Chentsov type in terms of ...
Guido Montúfar, Johannes Rauh, Nihat Ay
doaj   +1 more source

Multimodal exponential families of circular distributions with application to daily peak hours of PM2.5 level in a large city. [PDF]

J Appl Stat, 2021
Kim S, SenGupta A.
europepmc   +1 more source

Exponential Family Attention

47 ...
Wibisono, Kevin Christian, Wang, Yixin
openaire   +2 more sources

Applications in engineering and medicine with new generalized class of distribution: Properties, estimation methods, and simulation

Alexandria Engineering Journal
A novel distribution family named the Transmuted Odd Moment Exponential-G (TOME-G) family is introduced, derived from both the Odd Moment Exponential-G and Transmuted families.
Naif Alotaibi
doaj   +1 more source

A Note on NPML Estimation for Exponential Family Regression Models with Unspecified Dispersion Parameter

Austrian Journal of Statistics, 2016
Nonparametric maximum likelihood (NPML) estimation for exponential families with unspecified dispersion parameter ? suffers from computational instability, which can lead to highly fluctuating EM trajectories and suboptimal solutions, in particular when ?
Jochen Einbeck, John Hinde
doaj   +1 more source

An improved Bayes empirical Bayes estimator

International Journal of Mathematics and Mathematical Sciences, 2003
Consider an experiment yielding an observable random quantity X whose distribution Fθ depends on a parameter θ with θ being distributed according to some distribution G0.
R. J. Karunamuni, N. G. N. Prasad
doaj   +1 more source