The Bayesian Approach to Determination of Sample Sizes-Some Comments on the Paper by Joseph, Wolfson and du Berger

1995 ◽  
Vol 44 (2) ◽  
pp. 155 ◽  
Author(s):  
C. J. Adcock
Keyword(s):  
Bayesian Approach ◽  
Sample Sizes ◽  
The Bayesian Approach

scholarly journals A Bayesian approach to quantify the uncertainties in the determination of galaxy properties derived from spectral fits

2011 ◽  
Vol 7 (S284) ◽  
pp. 46-48
Author(s):  
Gladis Magris C. ◽  
Cecilia Mateu ◽  
Gustavo Bruzual A.
Keyword(s):  
Bayesian Approach ◽  
Stellar Population ◽  
Least Square ◽  
Straightforward Manner ◽  
Least Square Fitting ◽  
Wide Range ◽  
Fitting Algorithm ◽  
Star Formation Histories ◽  
The Bayesian Approach

AbstractWe use a bayesian formalism to quantify the uncertainties in the determination of the luminous mass and age of the dominant stellar population in a galaxy obtained from simple spectral fits. The analysis is performed over a sample of synthetic spectra covering a wide range of star formation histories and seen at different ages and redshifts. Using the bayesian approach we can establish quantitatively the uncertainties in the parameters derived from these fits in a straightforward manner, which is not possible using some simple algorithms, e.g. GASPEX, a non-negative least-square fitting algorithm.

scholarly journals Bayesian Approach to the Assessment of Geological Risk in Oil and Gas Exploration

2020 ◽  
Vol 8 (7) ◽  
pp. 203-210
Author(s):  
Bruno Rafael Dias de Lucena ◽  
Leonardo Junqueira Lustosa
Keyword(s):  
Bayesian Approach ◽  
Oil And Gas ◽  
Historical Data ◽  
Oil And Gas Exploration ◽  
Oil Resources ◽  
The Bayesian Approach ◽  
Illustrative Application

When assessing undiscovered oil resources, an important step is the assessment of geological risk, which is usually defined as the probability that there will be no accumulation of hydrocarbons. Some important authors have traditional ways of obtaining this probability, but these classic models are not developed on a rigorous basis. Therefore, they may present conflicting results, which are not always compatible with reality and are not able to take into account historical data from similar situations already studied. This article aims to propose a Bayesian approach to the determination of geological risk with advantages over classical approaches. The positive aspects and limitations of the Bayesian approach are discussed and an illustrative application using fictitious data is presented.

scholarly journals The promise of Bayesian analysis for prominence seismology

2013 ◽  
Vol 8 (S300) ◽  
pp. 393-394 ◽  
Author(s):  
Iñigo Arregui ◽  
Andrés Asensio Ramos ◽  
Antonio J. Díaz
Keyword(s):  
Bayesian Analysis ◽  
Bayesian Approach ◽  
Model Comparison ◽  
Physical Models ◽  
Physical Parameters ◽  
Solar Prominence ◽  
Bayesian Techniques ◽  
The Bayesian Approach

AbstractWe propose and use Bayesian techniques for the determination of physical parameters in solar prominence plasmas, combining observational and theoretical properties of waves and oscillations. The Bayesian approach also enables to perform model comparison to assess how plausible alternative physical models/mechanisms are in view of data.

Bayesian Determination of Sample Sizes for Inspections of Feeder Hangers

2009 ◽  
Author(s):  
Fred M. Hoppe ◽  
Jovica Riznic
Keyword(s):  
Bayesian Approach ◽  
Confidence Level ◽  
Sample Sizes ◽  
Predictive Distributions ◽  
Nuclear Plants

The purpose of this paper is to show how a Bayesian approach may be used to determine sample sizes for future inspections of hangers in feeder tubes at nuclear plants. Predictive distributions are obtained and tables given for the number of fretting locations in the uninspected feeder population. If, upon inspection, the number of frets observed is too large for a specified confidence level, then the tables can be used to determine how many additional feeders to inspect.

scholarly journals The Human Innate Nature Based Medical Expert System for Self-diagnosis

2017 ◽  
Vol 4 (1) ◽  
pp. 16-20
Author(s):  
Mikhail Gennadievich Grif ◽  
Yumchmaa Ayush
Keyword(s):  
Expert System ◽  
Bayesian Approach ◽  
Diagnostic Procedure ◽  
Diagnostic Testing ◽  
Conditional Entropy ◽  
The Body ◽  
Medical Expert ◽  
Medical Expert System ◽  
The Bayesian Approach

This article considers the some results of the diagnostic text in the medical expert system, which based on integration of the “european” and “eastern” medicines. One of the proposed work directions is the study of the patient's questionnaire informative value, where the questions of a prototype with binary answers "YES-NO" are performed as corpuscular diagnostic testing (СTD). Then, in determining the real disease (diseases), there arises an actual task of selecting the most preferred CDT at each step of the diagnostic processes. CDT is an indivisible diagnostic procedure, which estimates one or more indicators of the condition of the body. In addition, using by real determination of human inborn innate nature gives opportunity to understand internal causes of chronic diseases. Also, for selection more probabilistic diseases have been applied the Bayesian approach and the conditional entropy.

Answers to the Sterlinski´s comments

2010 ◽  
Vol 98 (6) ◽  
Author(s):  
Jean Aupiais ◽  
V. Vivier
Keyword(s):  
Experimental Determination ◽  
Poisson Distribution ◽  
Bayesian Approach ◽  
Type A ◽  
Decision Threshold ◽  
Type B ◽  
Accessible Information ◽  
Complete Treatment ◽  
The Bayesian Approach

AbstractRecently, the Bayesian approach has been considered in the standard ISO to refine the determination of the decision threshold by taking into account all accessible information such as type A and type B uncertainties. In a previous paper [1] and later a corrigendum [2], we had demonstrated that such treatment was not properly performed and we have developed a complete treatment without simplification, based on the Bayesian approach and Poisson distribution. A new law of distribution of the net counting knowing one experimental determination of the background was thus introduced. Here, we discuss the comments from S. Sterlinski about this law of distribution. All variables in bold and italic are random while all variables in italic style are numbers experimentally obtained after a measurement.

scholarly journals The Bayesian Approach and the Results of the ISAR-REACT 5 Trial

2021 ◽  
Vol 14 (2) ◽  
pp. 231-232
Author(s):  
Adnan Kastrati ◽  
Alexander Hapfelmeier
Keyword(s):  
Bayesian Approach ◽  
The Bayesian Approach
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