Results 51 to 60 of about 47,862 (173)
The Bayesian Score Statistic [PDF]
We propose a novel Bayesian test under a (noninformative) Jeffreys’ prior speciï¬ca- tion. We check whether the ï¬xed scalar value of the so-called Bayesian Score Statistic (BSS) under the null hypothesis is a plausible realization from its known and ...
Kleijn, R.H., Kleibergen, F.R., Paap, R.
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Simple Marginally Noninformative Prior Distributions for Covariance Matrices
Bayesian Analysis, 2013 A family of prior distributions for covariance matrices is studied. Members of the family possess the attractive property of all standard deviation and correlation parameters being marginally noninformative for particular hyper-parameter choices. Moreover, the family is quite simple and, for approximate Bayesian inference techniques such as Markov ...
Huang, Alan, Wand, M. P.
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Bayesian Inference for Two-Parameter Gamma Distribution Assuming Different Noninformative Priors
Revista Colombiana de Estadística, 2013 In this paper distinct prior distributions are derived in a Bayesian inference of the two-parameters Gamma distribution. Noniformative priors, such as Jeffreys, reference, MDIP, Tibshirani and an innovative prior based on the copula approach are ...
FERNANDO ANTONIO MOALA +2 more
doaj
Revista Colombiana de EstadísticaBayesian analysis of the 3-component mixture of an Exponential distribution under type-I right censoring scheme is considered in this paper. The Bayes estimators and posterior risks for the unknown parameters are derived under squared error loss function,
MUHAMMAD TAHIR, MUHAMMAD ASLAM
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Development of noninformative priors for Bayesian analysis
, 1994 The reference priors, initiated in Bernardo (1979) and further developed in Berger and Bernardo (1992a, b, c), are applied to several statistical models.
Yang, Ruoyong
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A Variational Bayes Genomic-Enabled Prediction Model with Genotype × Environment Interaction
G3: Genes, Genomes, Genetics, 2017 There are Bayesian and non-Bayesian genomic models that take into account G×E interactions. However, the computational cost of implementing Bayesian models is high, and becomes almost impossible when the number of genotypes, environments, and traits is ...
Osval A. Montesinos-López +7 more
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On the choice of a noninformative prior for Bayesian inference of discretized normal observations
Computational Statistics, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Elster, Clemens, Lira, Ignacio
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Noninformative priors for linear combinations of exponential means
Journal of the Korean Data and Information Science Society, 2016 Abstract In this paper, we develop the noninformative priors for the linear combinationsof means in the exponential distributions. We develop the matching priors and thereference priors. The matching priors, the reference prior and Je reys’ prior for thelinear combinations of means are developed.
Woo Dong Lee, Dal Ho Kim, Sang Gil Kang
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AIP AdvancesThis paper investigates statistical inferences for product lifetimes following the inverted modified Lindley distribution, utilizing progressive Type-II censored data. The estimation of model parameters employs the maximum likelihood method, complemented
Mustafa M. Hasaballah +4 more
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Bayesian analysis of Arma models using noninformative priors [PDF]
, 1995 Parameters in ARMA models are only locally identified. It is shown that the use of diffuse priors in these models leads to a preference for locally nonidentified parameter values. We therefore suggest to use likelihood based priors like the Jeffreys' priors which overcome these problems.
Kleibergen, F.R., Hoek, H.
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