Results 51 to 60 of about 4,815,078 (315)

Pseudo-free families of computational universal algebras

open access: yesJournal of Mathematical Cryptology, 2020
Let Ω be a finite set of finitary operation symbols. We initiate the study of (weakly) pseudo-free families of computational Ω-algebras in arbitrary varieties of Ω-algebras.
Anokhin Mikhail
doaj   +1 more source

Linear estimating equations for exponential families with application to Gaussian linear concentration models [PDF]

open access: yes, 2013
In many families of distributions, maximum likelihood estimation is intractable because the normalization constant for the density which enters into the likelihood function is not easily available.
Peter G. M. Forbes, S. Lauritzen
semanticscholar   +1 more source

Itô-vector projection filter for exponential families

open access: yesResults in Applied Mathematics
In this paper, we study the application of Itô-vector projection [1] to the optimal filtering problem. The algorithm projects one SDE to another, possibly lower dimensional, SDE by minimizing an Itô–Taylor expansion of the local projection error’s L2 ...
Muhammad Fuady Emzir
doaj   +1 more source

A Comparison of the Smoothing Constant Values Among Exponential Smoothing Methods in Commodity Prices Forecasting

open access: yesJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022
Commodity prices forecasting is one of the business functions to estimate future demand based on past data trend. This study aims to implement a trial and error technique of the constant (alpha α) value in the exponential smoothing method.
Hazriani Hazriani, Yuyun, Mashur Razak
doaj   +1 more source

On Sufficiency and the Exponential Family

open access: yesJournal 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

On the Conjecture of Kochar and Korwar [PDF]

open access: yes, 2009
In this paper, we solve for some cases a conjecture by Kochar and Korwar (1996) in relation with the normalized spacings of the order statistics related to a sample of independent exponential random variables with different scale parameter. In the case
Lillo Rodríguez, Rosa Elvira   +5 more
core   +1 more source

An Exponential Family of Lorenz Curves [PDF]

open access: yesSouthern Economic Journal, 2001
A new method for building parametric‐functional families of Lorenz curves, generated from an initial Lorenz curve (which satisfies some regularity conditions), is presented. The method is applied to the exponential family since they use the exponential Lorenz curves as their generating curves.
Sarabia Alegría, José María   +2 more
openaire   +2 more sources

A yeast model of 5‐oxoproline accumulation reveals a general toleration to 5‐oxoproline

open access: yesFEBS Open Bio, EarlyView.
Using a yeast model, we show that even high accumulation of 5‐oxoproline causes only mild cellular stress and does not trigger oxidative stress. Instead, cells adapt by activating efflux pumps and diverse protective pathways, suggesting that previously proposed harmful effects of 5‐oxoproline may arise from indirect metabolic imbalances rather than the
Pratiksha Dubey   +4 more
wiley   +1 more source

On Sheffer polynomial families

open access: yes4 open, 2019
Attention is focused to particular families of Sheffer polynomials which are different from the classical ones because they satisfy non-standard differential equations, including some of fractional type.
Pinelas Sandra, Ricci Paolo Emilio
doaj   +1 more source

Exponential families, Kähler geometry and quantum mechanics [PDF]

open access: yes, 2012
Exponential families are a particular class of statistical manifolds which are particularly important in statistical inference, and which appear very frequently in statistics.
M. Molitor
semanticscholar   +1 more source

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