Results 1 to 10 of about 3,940 (124)
Bayesian Inference under Small Sample Sizes Using General Noninformative Priors
Mathematics, 2021 This paper proposes a Bayesian inference method for problems with small sample sizes. A general type of noninformative prior is proposed to formulate the Bayesian posterior.
Jingjing He +2 more
exaly +3 more sources
Interpretable Variational Graph Autoencoder with Noninformative Prior
Future Internet, 2021 Variational graph autoencoder, which can encode structural information and attribute information in the graph into low-dimensional representations, has become a powerful method for studying graph-structured data.
Lili Sun, Xueyan Liu, Bo Yang
exaly +3 more sources
Geometric properties of noninformative priors based on the chi-square divergence
Frontiers in Applied Mathematics and Statistics, 2023 Recently, a noninformative prior distribution that is different from the Jeffreys prior was derived as an extension of Bernardo's reference prior based on the chi-square divergence.
Fuyuhiko Tanaka
exaly +3 more sources
Fiducial Inference in Linear Mixed-Effects Models [PDF]
EntropyWe develop a novel framework for fiducial inference in linear mixed-effects (LME) models, with the standard deviation of random effects reformulated as coefficients.
Jie Yang +3 more
doaj +2 more sources
Frontiers in Big Data, 2022 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 +1 more source
Journal of the Georgia Public Health Association, 2022 Background: We investigate epidemiological models, their parameters, and the models’ predictive performance of daily new cases during the first three weeks of the SARS-CoV-2 outbreak in a southwest Georgia hotspot.
Daniel F. Linder +6 more
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Bayesian analysis for the Lomax model using noninformative priors
Statistical Theory and Related Fields, 2023 The Lomax distribution is an important member in the distribution family. In this paper, we systematically develop an objective Bayesian analysis of data from a Lomax distribution. Noninformative priors, including probability matching priors, the maximal
Daojiang He, Dongchu Sun, Qing Zhu
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PLoS ONE, 2022 Flash flooding is caused by heavy rainfall that frequently occurs during a tropical storm, and the Thai population has been subjected to this problem for a long time. The key to solving this problem by planning and taking action to protect the population
Patcharee Maneerat +2 more
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Bayesian Approach for Confidence Intervals of Variance on the Normal Distribution
International Journal of Mathematics and Mathematical Sciences, 2022 This research aims to compare estimating the confidence intervals of variance based on the normal distribution with the primary method and the Bayesian approach. The maximum likelihood is the well-known method to approximate variance, and the Chi-squared
Autcha Araveeporn
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Advances in Mathematical Physics, 2022 This paper develops the problem of estimating stress-strength reliability for Gompertz lifetime distribution. First, the maximum likelihood estimation (MLE) and exact and asymptotic confidence intervals for stress-strength reliability are obtained. Then,
Z. Karimi Ezmareh, G. Yari
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