Results 11 to 20 of about 109,308 (284)

An enriched conjugate prior for Bayesian nonparametric inference [PDF]

open access: diamondBayesian Analysis, 2011
The precision parameter plays an important role in the Dirichlet Pro- cess. When assigning a Dirichlet Process prior to the set of probability measures on R k , k > 1, this can be restrictive in the sense that the variability is determined by a single parameter.
Sara Wade   +2 more
openalex   +4 more sources

Non-conjugate Prior Distribution Assessment for Multivariate Normal Sampling [PDF]

open access: bronzeJournal of the Royal Statistical Society Series B: Statistical Methodology, 2001
Summary Elicitation methods are proposed for quantifying expert opinion about a multivariate normal sampling model. The natural conjugate prior family imposes a relationship between the mean vector and the covariance matrix that can portray an expert's opinion poorly.
Paul H. Garthwaite   +1 more
openalex   +4 more sources

Extensions of the conjugate prior through the Kullback–Leibler separators

open access: bronzeJournal of Multivariate Analysis, 2003
AbstractThe conjugate prior for the exponential family, referred to also as the natural conjugate prior, is represented in terms of the Kullback–Leibler separator. This representation permits us to extend the conjugate prior to that for a general family of sampling distributions.
Takemi Yanagimoto, Toshio Ohnishi
openalex   +3 more sources

Bayesian nonparametric point estimation under a conjugate prior

open access: greenStatistics & Probability Letters, 2002
Abstract Estimation of a nonparametric regression function at a point is considered. The function is assumed to lie in a Sobolev space, Sq, of order q. The asymptotic squared-error performance of Bayes estimators corresponding to Gaussian priors is investigated as the sample size, n, increases.
Xuefeng Li, Linda Zhao
openalex   +6 more sources

Prevalence and epidemiology of meningococcal carriage in Southern Ethiopia prior to implementation of MenAfriVac, a conjugate vaccine [PDF]

open access: goldBMC Infectious Diseases, 2016
Background Neisseria meningitidis colonizes humans and transmits mainly by asymptomatic carriage. We sought to determine the prevalence and epidemiology of meningococcal carriage in Ethiopia prior to the introduction of MenAfriVac, a serogroup A ...
Guro K. Bårnes   +9 more
doaj   +2 more sources

The Bayesian Posterior and Marginal Densities of the Hierarchical Gamma–Gamma, Gamma–Inverse Gamma, Inverse Gamma–Gamma, and Inverse Gamma–Inverse Gamma Models with Conjugate Priors

open access: yesMathematics, 2022
Positive, continuous, and right-skewed data are fit by a mixture of gamma and inverse gamma distributions. For 16 hierarchical models of gamma and inverse gamma distributions, there are only 8 of them that have conjugate priors.
Li Zhang, Ying-Ying Zhang
doaj   +1 more source

Statistical inference based on k-records [PDF]

open access: yesIranian Journal of Numerical Analysis and Optimization, 2008
In this paper, an extension of record models, well known as k-records, is considered. Bayesian estimation as well as prediction based on k-records are presented when the underlying distribution is assumed to have a general form. The proposed procedure is
J. Ahmadi, M. Doostparast
doaj   +1 more source

Design and Preclinical Evaluation of Nicotine–Stearic Acid Conjugate-Loaded Solid Lipid Nanoparticles for Transdermal Delivery: A Technical Note

open access: yesPharmaceutics, 2023
This study aimed to develop and evaluate nicotine--stearic acid conjugate-loaded solid lipid nanoparticles (NSA-SLNs) for transdermal delivery in nicotine replacement therapy (NRT).
Jwala Renukuntla   +6 more
doaj   +1 more source

Bayesian Estimation of the Parameter of the Exponential Distribution with Different Priors under Symmetric and Asymmetric Loss Functions [PDF]

open access: yesEngineering and Technology Journal, 2014
The objective of this study is to compare the performance of some Bayesian estimators for the shape parameter of the exponential distribution. We considered three priors: the extension of Jeffreys as non- informative prior information, as well as the ...
Tasnim H.K. AlBaldawi
doaj   +1 more source

Robust Poisson Multi-Bernoulli Mixture Filter With Inaccurate Process and Measurement Noise Covariances

open access: yesIEEE Access, 2020
This paper proposes a robust Poisson multi-Bernoulli mixture (PMBM) filter with inaccurate process and measurement noise covariances. A derivation of the robust PMBM filter is provided for jointly estimating the kinematic state, the predicted state ...
Wenjuan Li, Hong Gu, Weimin Su
doaj   +1 more source

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