Results 151 to 160 of about 47,862 (173)
Developing Noninformative Priors for Parallel-Line Bioassay [PDF]
Communications for Statistical Applications and Methods, 2002 This paper revisits parallel-line bioassay problem, from a Bayesian point of view using noninformative priors such as Jeffreys' prior, reference priors, and probability matching priors. After finding the orthogonal transformation, the class of first order and second order probability matching priors are derived. Jeffreys' prior and reference priors are
YeongHwa Kim, JungEun Heo
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Noninformative priors for the normal variance ratio
Statistical Papers, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kim, D. H., Kang, S. G., Lee, W. D.
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Bayesian Analysis for a Stress-Strength System Under Noninformative Priors
Canadian Journal of Statistics, 1998AbstractNoninformative priors are used for estimating the reliability of a stress‐strength system. Several reference priors (cf. Berger and Bernardo 1989, 1992) are derived. A class of priors is found by matching the coverage probabilities of one‐sided Bayesian credible intervals with the corresponding frequentist coverage probabilities.
Dongchu Sun +2 more
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Multiresponse parameter estimation with a new and noninformative prior
Biometrika, 1987Summary: A noninformative prior distribution for the covariance matrix of a normal distribution is derived from a data-relocated likelihood function. This new prior distribution also follows from Jeffreys's rule. Resulting modifications of current formulae for multiresponse parameter estimation are summarized.
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Bayesian analysis of vector-autoregressive models with noninformative priors
Journal of Statistical Planning and Inference, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sun, Dongchu, Ni, Shawn
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Adaptive Bayesian classification using noninformative Dirichlet priors
SMC 2000 Conference Proceedings. 2000 IEEE International Conference on Systems, Man and Cybernetics. 'Cybernetics Evolving to Systems, Humans, Organizations, and their Complex Interactions' (Cat. No.00CH37166), 2002A model is developed to illustrate the effect that adapting correctly labeled training data with possibly incorrectly labeled data has on classification performance. The model is based on a previously developed model for mislabeled training data that uses the uniform Dirichlet distribution as a noninformative prior on the symbol probabilities of each ...
Robert S. Lynch Jr., Peter K. Willett
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Bayesian Credibility With A Noninformative Prior
1986A full Bayesian approach to the basic credibility problem is introduced. A solution is obtained for the balanced case and the results are compared to those obtained by empirical Bayes methods. The unbalanced case is also examined, resulting in a pseudo-estimator for the between variance.
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Noninformative priors for the generalized half-normal distribution
Journal of the Korean Statistical Society, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kang, Sang Gil +2 more
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Noninformative priors for one parameter of many
Biometrika, 1989Summary: We consider the problem of constructing a prior that is `noninformative' for a single parameter in the presence of nuisance parameters. Our approach is to require that the resulting marginal posterior intervals have accurate frequentist coverage. \textit{C. M. Stein} [Sequential methods in statistics, Banach Cent. Publ.
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Noninformative Prior Weights for Dirichlet PDFs
2022 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 2022Audun Jøsang +2 more
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