Calibrating the prior distribution for a normal model with conjugate prior. [PDF]
For a normal model with a conjugate prior, we provide an in depth examination of the effects of the hyperparameters on the long-run frequentist properties of posterior point and interval estimates. Under an assumed sampling model for the data generating mechanism, we examine how hyperparameter values affect the mean squared error (MSE) of posterior ...
Alber SA, Lee JJ.
europepmc +5 more sources
An enriched conjugate prior for Bayesian nonparametric inference [PDF]
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 ...
Sara Wade +2 more
semanticscholar +5 more sources
For the normal model with a known mean, the Bayes estimation of the variance parameter under the conjugate prior is studied in Lehmann and Casella (1998) and Mao and Tang (2012).
Ying-Ying Zhang +5 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 [PDF]
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 +2 more sources
Prior-preconditioned conjugate gradient method for accelerated Gibbs sampling in "large $n$ & large $p$" Bayesian sparse regression. [PDF]
In a modern observational study based on healthcare databases, the number of observations and of predictors typically range in the order of 105–106 and of 104–105.
Akihiko Nishimura, Marc A. Suchard
openalex +3 more sources
Most patients with multiple myeloma experience disease relapse after treatment with a B-cell maturation antigen-targeted therapy (BCMA-TT), and data describing outcomes for patients treated with sequential BCMA-TT are limited.
Christopher J. Ferreri +28 more
doaj +2 more sources
Poisson Multi-Bernoulli Mixture Conjugate Prior for Multiple Extended Target Filtering [PDF]
This paper presents a Poisson multi-Bernoulli mixture (PMBM) conjugate prior for multiple extended object filtering. A Poisson point process is used to describe the existence of yet undetected targets, while a multi-Bernoulli mixture describes the ...
Karl Granström, M. Fatemi, L. Svensson
semanticscholar +1 more source
Bayesian Estimation of the Parameter of the Exponential Distribution with Different Priors under Symmetric and Asymmetric Loss Functions [PDF]
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
Statistical inference based on k-records [PDF]
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
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

