Results 11 to 20 of about 494,632 (168)
On the Gaussian Approximation to Bayesian Posterior Distributions [PDF]
Mathematics and Statistics, 2021 The present article derives the minimal number $N$ of observations needed to consider a Bayesian posterior distribution as Gaussian. Two examples are presented. Within one of them, a chi-squared distribution, the observable $x$ as well as the parameter $ξ$ are defined all over the real axis, in the other one, the binomial distribution, the observable ...
Fuhrmann, Christoph +3 more
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Entropy, 2011 In the present paper, we propose a large sample asymptotic approximation for the sampling and posterior distributions of differential entropy when the sample is composed of independent and identically distributed realization of a multivariate normal ...
Habib Benali, Guillaume Marrelec
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A brief look into Bayesian statistics in cardiology data analysis
REC: Interventional Cardiology (English Ed.), 2022 Bayesian statistics assesses probabilistically all sources of uncertainty involved in a statistical study and uses Bayes’ theorem to sequentially update the information generated in the different phases of the study.
Carmen Armero +2 more
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Identifying model violations under the multispecies coalescent model using P2C2M.SNAPP [PDF]
PeerJ, 2020 Phylogenetic estimation under the multispecies coalescent model (MSCM) assumes all incongruence among loci is caused by incomplete lineage sorting. Therefore, applying the MSCM to datasets that contain incongruence that is caused by other processes, such
Drew J. Duckett +2 more
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Ibn Al-Haitham Journal for Pure and Applied Sciences, 2023 We are used Bayes estimators for unknown scale parameter when shape Parameter is known of Erlang distribution. Assuming different informative priors for unknown scale parameter.
Jinan A. Naser Al-obedy
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Rates of convergence of posterior distributions
The Annals of Statistics, 2001 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shen, Xiaotong, Wasserman, Larry
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Voronoi tessellation‐based regionalised segmentation for colour texture image
IET Computer Vision, 2016 This study presents a region‐based algorithm for segmenting colour texture image, which uses Voronoi tessellation for partitioning the domain of the image and Markov random field (MRF) for modelling colour texture.
Quanhua Zhao, Yu Wang, Yu Li
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Russian Journal of Agricultural and Socio-Economic Sciences, 2021 This paper introduces Bayesian analysis and demonstrates its application to parameter estimation of the Poisson regression via Markov Chain Monte Carlo (MCMC) algorithm using roommate conflict data.
Acquah J. De-Graft
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Martingale posterior distributions
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2023 AbstractThe prior distribution is the usual starting point for Bayesian uncertainty. In this paper, we present a different perspective that focuses on missing observations as the source of statistical uncertainty, with the parameter of interest being known precisely given the entire population.
Fong, Edwin +2 more
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On the Posterior Distribution of the Correlation Coefficient [PDF]
The Egyptian Statistical Journal, 1974 The purpose of this note is to give a better approximation to the posterior distribution of the correlation coefficient of a bivariate normal population for moderately large values of sample size.
G.M. El-Sayyad
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