Results 51 to 60 of about 4,352 (182)

An Effectiveness Study Of Bayesian Identification Techniques for ARMA Models [PDF]

open access: yesThe Egyptian Statistical Journal, 2009
Model identification is the first and most important stage when analyzing a time series. As a result of analytical complexity, very little has been done from a Bayesian viewpoint in order to identify the orders of ARMA models.
Sherif S. Ali
doaj   +1 more source

On Integral Priors for Multiple Comparison in Bayesian Model Selection

open access: yesInternational Statistical Review, EarlyView.
Summary Noninformative priors constructed for estimation purposes are usually not appropriate for model selection and testing. The methodology of integral priors was developed to get prior distributions for Bayesian model selection when comparing two models, modifying initial improper reference priors. We propose a generalisation of this methodology to
Diego Salmerón   +2 more
wiley   +1 more source

Bayesian Estimation of Multivariate Pure Moving Average Processes

open access: yesIEEE Access, 2022
The multivariate estimation problems arise if the observations are available for several related variables of interest. The multivariate time series may be found in many fields of application such as economics, meteorology and utilities.
Mohammed Albassam   +2 more
doaj   +1 more source

Effects of motor and cognitive‐motor training on cognitive performance in healthy older adults

open access: yesJournal of Neuropsychology, EarlyView.
Abstract With a rapidly aging global population, identifying effective strategies to preserve cognitive health and functional independence is increasingly important. This study investigated the effects of motor and combined cognitive‐motor training on cognitive performance and well‐being in healthy older adults against a control condition. Participants
Silvia Gobbo   +2 more
wiley   +1 more source

Robust Inference for Stress–Strength Reliability of the Garhy Distribution Under Diverse Record Schemes with Engineering and Medical Applications

open access: yesMathematics
This paper investigates the stress–strength reliability parameter R=P ...
Abdullah H. Alenezy   +3 more
doaj   +1 more source

Bayesian estimation of a bivariate copula using the Jeffreys prior

open access: yesBernoulli, 2012
Published in at http://dx.doi.org/10.3150/10-BEJ345 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm)
Guillotte, Simon, Perron, François
openaire   +3 more sources

Hedgehog Pillows and Squirrel Plates: Priming Semantic Structure in Children's Comprehension

open access: yesLanguage Learning, EarlyView.
Abstract We report three expression–picture‐matching experiments targeting preschoolers’ semantic processing. We assessed whether 3‐ and 4‐year‐olds’ interpretations of ambiguous novel noun–noun combinations (e.g., hedgehog pillow) were affected by immediate language experience and what role lexical items played in this process.
Judit Fazekas   +2 more
wiley   +1 more source

Unconventional Fiscal Policies in Response to Inflation: The Iberian Exception in Portugal

open access: yesScottish Journal of Political Economy, EarlyView.
ABSTRACT The surge in Eurozone inflation in 2022 compelled European governments to implement unconventional fiscal policies. One initiative, the Iberian Exception, imposed a cap on the cost of natural gas used for electricity generation in Portugal and Spain.
Lourenço Cerdeira   +2 more
wiley   +1 more source

Objective Bayesian analysis for the accelerated degradation model using Wiener process with measurement errors

open access: yesStatistical Theory and Related Fields, 2018
The Wiener process as a degradation model plays an important role in the degradation analysis. In this paper, we propose an objective Bayesian analysis for an acceleration degradation Wiener model which is subjected to measurement errors.
Daojiang He, Yunpeng Wang, Mingxiang Cao
doaj   +1 more source

ANALISIS REGRESI BAYES LINEAR SEDERHANA DENGAN PRIOR NONINFORMATIF

open access: yesE-Jurnal Matematika, 2014
The aim of this study is to apply Bayesian simple linear regression using noninformative prior. The data used in this study is 30 observational data with error generated from normal distribution.
ANAK AGUNG ISTRI AGUNG CANDRA ISWARI   +2 more
doaj   +1 more source

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