Results 171 to 180 of about 1,818,807 (197)

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), 2002
A 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

1986
A 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, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kang, Sang Gil, Lee, Keunbaik, Lee, Woo Dong   +2 more
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Noninformative priors for one parameter of many

Biometrika, 1989
Summary: 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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Statistical Analysis of Location Parameter of Inverse Gaussian Distribution Under Noninformative Priors [PDF]

Journal of Quantitative Methods, 2019
Bayesian estimation for location parameter of the inverse Gaussian distribution is presented in this paper. Noninformative priors (Uniform and Jeffreys) are assumed to be the prior distributions for the location parameter as the shape parameter of the ...
Khan, Nida, Aslam, Muhammad
exaly   +2 more sources

Noninformative Prior Weights for Dirichlet PDFs

2022 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 2022
Audun Jøsang, Jin-Hee Cho, Feng Chen 0001   +2 more
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Noninformative priors for linear combinations of the normal means

Statistical Papers, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kim, Dal Ho, Kang, Sang Gil, Lee, Woo Dong   +2 more
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Murphy’s Law and Noninformative Priors

1992
In this conversation, a stockbroker offers a client some investment opportunity. But the client has very strong priors against the deal paying off. Hence, even though he has not heard anything specific about the investment, the client knows that he will probably discount the investment opportunity and find it unsatisfactory.
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On Bayesian Inference for Proportional Hazards Models Using Noninformative Priors

Lifetime Data Analysis, 2000
In this article, we investigate the properties of the posterior distribution under the uniform improper prior for two commonly used proportional hazards models; the Weibull regression model and the extreme value regression model. We allow the observations to be right censored.
Kim, Seong W., Ibrahim, Joseph G.
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Bayesian analysis for a stress‐strength system under noninformative priors

Canadian Journal of Statistics, 1998
AbstractNoninformative 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.
Sun, Dongchu, Ghosh, Malay, Basu, Asit P.   +2 more
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