Examples of using Bayesian in English and their translations into Arabic
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Colloquial
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Ecclesiastic
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Ecclesiastic
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Computer
The additional hypotheses sufficient to(uniquely) specify Bayesian updating are substantial and not universally seen as satisfactory.
The third day focused on the presentation and assessment of new methodology for projecting fertility based on a Bayesian approach.
To allow for a complete data set, such advanced estimation techniques as maximum entropy and Bayesian posterior density estimators are used.
Among the localization algorithms, probabilistic approaches have proved to be most successful, all of which in some way stems from Bayesian theory.
In game theory, Bayesian regret is the average difference between the utility of a strategy and an ideal utility where desired outcomes are maximized.
According to Bayesian theory, managers make decisions, and managers should make decisions,
The Population Division cooperated with researchers from the University of Washington and the University of Singapore to develop the Bayesian hierarchical model that was used in the probabilistic fertility projections.
The Population Division cooperated with researchers from the University of Washington and the University of Singapore to develop the Bayesian hierarchical model that was used in the probabilistic mortality and fertility projections.
And to do that, I'm going to tell you about a framework which is very popular in statistics and machine learning of the last 50 years called Bayesian decision theory.
The use of Bayesian probabilities as the basis of Bayesian inference has been supported by several arguments, such as Cox axioms, the Dutch book argument, arguments based on decision theory and de Finetti's theorem.
While frequentist statistics remains strong(as seen by the fact that most undergraduate teaching is still based on it), Bayesian methods are widely accepted and used, e.g., in the field of machine learning.
then combine those in a real Bayesian way.
Many, but not all, rely on a particular approach to this known as Bayesian reasoning to incorporate observational and experimental evidence into what we know and to update our belief in a particular description of the universe.
This is an equally impeccable Bayesian calculation, rejecting the Copernican principle on the grounds that we must be'special observers' since there is no likely mechanism for humanity to go extinct within the next hundred thousand years.
a limit of Bayesian procedures.[23] Conversely, every Bayesian procedure is admissible.[24].
Bayesian probability is an interpretation of the concept of probability, in which, instead of frequency or propensity of some phenomenon,
To improve estimation of trends in contraceptive use, the Population Division initiated work on a model to estimate contraceptive prevalence and unmet need for family planning based on a Bayesian approach, where data from neighbouring countries inform the estimation of country-specific trends.
I am able to successfully improve the performance of my XGBoost model through Bayesian optimization, but the best I can achieve through Bayesian. .
The Bayesian interpretation of probability can be seen as an extension of propositional logic that enables reasoning with hypotheses, i.e., the propositions whose truth
specify Bayesian updating are substantial[21]