Results 21 to 30 of about 494,632 (168)
Convergence rates of posterior distributions
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Ghosal, Subhashis +2 more
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This study investigates the application of Bayesian statistical methods to analyze and predict the dimensional changes in torsion bars made from 20CrMnTi alloy steel during carburizing heat treatment.
Guojin Sun +3 more
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Application of Bayesian Analysis in Medical Diagnosis
In this work, we outlined the application of the Bayesian technique for integrating the results of multiple tests while treating any disease. We provided an overview of the fundamental concept of Bayesian analysis in making an inference about a ...
Vivek Verma +2 more
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This paper focuses on applying the Marshall-Olkin approach to generate a new bivariate distribution. The distribution is called the bivariate exponentiated Lomax distribution, and its marginal distribution is the exponentiated Lomax distribution ...
Sulafah M. S. Binhimd +6 more
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The Bayesian Estimate of Vector Autoregressive Model Parameters Adopt Informative Prior Information
This research included the bayesian estimate for vector Autoregressive model with rank (p) in addition to statistical tests and predict Bayesian when the random error of model followed generalized multivariate modified Bessel distribution.
Haifaa Abdulgawwad Saeed +2 more
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Quantitative comparisons between finitary posterior distributions and Bayesian posterior distributions [PDF]
The main object of Bayesian statistical inference is the determination of posterior distributions. Sometimes these laws are given for quantities devoid of empirical value. This serious drawback vanishes when one confines oneself to considering a finite horizon framework.
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Bayesian Methods for Medical Test Accuracy
Bayesian methods for medical test accuracy are presented, beginning with the basic measures for tests with binary scores: true positive fraction, false positive fraction, positive predictive values, and negative predictive value. The Bayesian approach is
Lyle D. Broemeling
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The Posterior $t$ Distribution
For the problem of inference about a real parameter $\mu$ on the basis of $n$ independent observations $x_1, \cdots, x_n$ (or x) each distributed as $N(\mu, \sigma^2)$ with $\sigma^2$ "unknown", it is commonly asserted, for example in [2] p. 465, that the Bayesian method is close to other forms of inference (significance tests, confidence and fiducial ...
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The red sea urchin (Strongylocentrotus franciscanus) fishery is of importance to the economy of Baja California (Mexico). The commercial fishery started in the early 1970s as a result of expanding export markets, but has experienced substantial decline ...
J Jurado-Molina +2 more
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DISTRIBUSI INVERS GAMMA PADA INFERENSI BAYESIAN
One of the methods which can be used in statistical inferences is Bayesian inference. It is combine sample distribution and prior distribution, that can be resulted posterior distribution.
Sugito Sugito, Dwi Ispriyanti
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