Results 11 to 20 of about 3,990 (166)
A Noninformative Prior on a Space of Distribution Functions [PDF]
Entropy, 2017 In a given problem, the Bayesian statistical paradigm requires the specification of a prior distribution that quantifies relevant information about the unknowns of main interest external to the data.
Alexander Terenin, David Draper
doaj +3 more sources
Reflecting About Selecting Noninformative Priors [PDF]
Journal of Applied & Computational Mathematics, 2014 15 pages, 8 figures, 5 ...
Kamary, Kaniav, Robert, Christian P.
openaire +3 more sources
Energies, 2022 In this paper, a competing risks model with dependent causes of failure is considered under left-truncated and right-censoring scenario. When the dependent failure causes follow a Marshall–Olkin bivariate exponential distribution, estimation of model ...
Zhiyuan Zuo, Liang Wang, Yuhlong Lio
doaj +1 more source
A Noninformative Prior for Neural Networks [PDF]
Machine Learning, 2003 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
On the invariance of noninformative priors
The Annals of Statistics, 1996 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Datta, Gauri Sankar, Ghosh, Malay
openaire +2 more sources
ANALISIS REGRESI BAYES LINEAR SEDERHANA DENGAN PRIOR NONINFORMATIF
E-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
Journal of Statistical Theory and Applications (JSTA), 2020 The output of an engineering process is the result of several inputs, which may be homogeneous or heterogeneous and to study them, we need a model which should be flexible enough to summarize efficiently the nature of such processes.
Muhammad Tahir +4 more
doaj +1 more source
Reliability Estimation of Weibull -Exponential Distribution via Bayesian Approach
Ratio Mathematica, 2021 Bayesian estimation is employed in order to estimate the reliability function of Weibull-Exponential distribution by using different priors. The Bayes estimators of the reliability function have been obtained under square error, precautionary and entropy
Himanshu Pandey, Arun Kumar Rao
doaj +1 more source
Hilbert–Schmidt separability probabilities and noninformativity of priors [PDF]
Journal of Physics A: Mathematical and General, 2006 The Horodecki family employed the Jaynes maximum-entropy principle, fitting the mean (b_{1}) of the Bell-CHSH observable (B). This model was extended by Rajagopal by incorporating the dispersion (σ_{1}^2) of the observable, and by Canosa and Rossignoli, by generalizing the observable (B_α).
openaire +3 more sources
Noninformative priors for the log-logistic distribution [PDF]
Journal of the Korean Data and Information Science Society, 2014 Abstract In this paper, we develop the noninformative priors for the scale parameter andthe shape parameter in the log-logistic distribution. We developed the rst and secondorder matching priors. It turns out that the second order matching prior matches the al-ternative coverage probabilities, and is a highest posterior density matching prior.
Sang Gil Kang, Dal Ho Kim, Woo Dong Lee
openaire +1 more source