Results 41 to 50 of about 3,859,005 (290)

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, Taiwo Adetola Ojurongbe, Lawal Sola, Nureni .Olawale Adeboye, Habeeb Abiodun Afolabi   +4 more
doaj   +1 more source

Telemedicine Competencies in Family Medicine Clerkships: A CERA Study [PDF]

, 2023
Background: While the Association of American Medical Colleges (AAMC) designated cross-disciplinary telemedicine competencies, curricular implementation is at disparate stages across medical schools and with significant curricular gaps.
Theobald, Mary, Steven Lin, Antoun, Jumana M., Mary Theobald, Jumana Antoun, Bajra, Rika, Rika Bajra, Lin, Steven Yung Sheng   +7 more
core   +1 more source

Deep Exponential Families

CoRR, 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.
Rajesh Ranganath, Linpeng Tang, Laurent Charlin, David M. Blei   +3 more
openaire   +3 more sources

KFAS: Exponential Family State Space Models in R

Journal of Statistical Software, 2017
State space modeling is an efficient and flexible method for statistical inference of a broad class of time series and other data. This paper describes the R package KFAS for state space modeling with the observations from an exponential family, namely ...
Jouni Helske
doaj   +1 more source

Divergences Induced by the Cumulant and Partition Functions of Exponential Families and Their Deformations Induced by Comparative Convexity

Entropy
Exponential families are statistical models which are the workhorses in statistics, information theory, and machine learning, among others. An exponential family can either be normalized subtractively by its cumulant or free energy function, or ...
Frank Nielsen
doaj   +1 more source

Maximum Entropy Fundamentals

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
doaj   +1 more source

Local Influence for the Thin-Plate Spline Generalized Linear Model

Axioms
Thin-Plate Spline Generalized Linear Models (TPS-GLMs) are an extension of Semiparametric Generalized Linear Models (SGLMs), because they allow a smoothing spline to be extended to two or more dimensions.
Germán Ibacache-Pulgar, Pablo Pacheco, Orietta Nicolis, Miguel Angel Uribe-Opazo   +3 more
doaj   +1 more source

A novel family of lifetime distribution with applications to real and simulated data

PLoS ONE, 2020
The paper investigates a new scheme for generating lifetime probability distributions. The scheme is called Exponential- H family of distribution. The paper presents an application of this family by using the Weibull distribution, the new distribution is
Muhammad Ijaz, Wali Khan Mashwani, Samir Brahim Belhaouari, Feng Chen   +3 more
doaj   +2 more sources

Almost sure exponential stability of backward Euler–Maruyama discretizations for hybrid stochastic differential equations [PDF]

, 2011
This is a continuation of the first author's earlier paper [1] jointly with Pang and Deng, in which the authors established some sufficient conditions under which the Euler-Maruyama (EM) method can reproduce the almost sure exponential stability of the ...
Shen, Yi, Mao, Xuerong, Gray, Alison
core   +4 more sources

On Sufficiency and the Exponential Family

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1963
SUMMARY The use of the likelihood function as the minimal sufficient statistic provides a simple and direct proof of results by Barankin and Katz (1959) and Barankin (1961) concerning minimal sufficient statistics. In Section 2 the likelihood function is used to analyse the effect of sampling on the dimensionality of the sufficient ...
openaire   +2 more sources