The Bayes Estimators of the Variance and Scale Parameters of the Normal Model With a Known Mean for the Conjugate and Noninformative Priors Under Stein’s Loss [PDF]
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 +2 more sources
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
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
exaly +2 more sources
High-flow nasal therapy vs conventional oxygen therapy in mild COVID-19 hypoxaemia: a Bayesian reanalysis of the COVID-HIGH Trial [PDF]
Journal of Anesthesia, Analgesia and Critical CareBackground Clinical effectiveness of high-flow nasal therapy (HFNT) over conventional oxygen therapy (COT) in patients with mild COVID-19-related acute hypoxaemic respiratory failure (AHRF) remains uncertain.
Claudia Crimi +21 more
doaj +2 more sources
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
doaj +2 more sources
Reference Priors Versus Reverse Reference Priors: The Role of Invariance [PDF]
The Egyptian Statistical Journal, 2000 In this article, I investigate two classes of noninformative priors: the reference priors of Berger and Bernardo and the reverse reference priors attributed to J.K. Ghosh.
Erhard Reschenhofer
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Bayesian Analysis of Unit Log-Logistic Distribution Using Non-Informative Priors
Mathematics, 2023 The unit log-logistic distribution is a suitable choice for modeling data enclosed within the unit interval. In this paper, estimating the parameters of the unit-log-logistic distribution is performed through a Bayesian approach with non-informative ...
Mohammed K. Shakhatreh +1 more
doaj +1 more source
Testing Linearity Against Asymmetric Moving Average Models: A Bayesian Approach [PDF]
The Egyptian Statistical Journal, 2000 Bayesian analysis for Asymmetric Moving Average (asMA) models is introduced. Using informative as well as noninformative priors, the posterior density of the model coefficients is approximated by a multivariate t distribution.
Mohamed A. Ismail, Ali Gargoum
doaj +1 more source
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, Fuyuhiko Tanaka
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
doaj +1 more source