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Что (кто) такое Bayesian technique - определение
METHOD OF STATISTICAL INFERENCE IN WHICH BAYES' THEOREM IS USED TO UPDATE THE PROBABILITY FOR A HYPOTHESIS AS MORE EVIDENCE OR INFORMATION BECOMES AVAILABLE
Bayesian analysis; Screening test fallacy; Bayesian Inference; Bayesian method; Bayesian methods; Bayesian modeling; Bayesian updating; Bayesian learning; Bayesian statistical analysis; Bayesian investor; Baysein statistics; Bayesian update; Bayesian analyses; Bayesian confirmation theory; Bayesian Algorithms; Applications of Bayesian inference; Confirmation theory
Найдено результатов: 882
Bayesian inference
Bayesian inference is a method of statistical inference in which Bayes' theorem is used to update the probability for a hypothesis as more evidence or information becomes available. Bayesian inference is an important technique in statistics, and especially in mathematical statistics.
Bayesian optimization
OPTIMIZATION TECHNIQUE FOR UNDIFFERENTIABLE, BLACK-BOX FUNCTIONS
Bayesian Optimization; Applications of Bayesian optimization; Bayesian optimisation
Bayesian optimization is a sequential design strategy for global optimization of black-box functions that does not assume any functional forms. It is usually employed to optimize expensive-to-evaluate functions.
Bayesian approaches to brain function
EXPLAINING THE BRAIN'S ABILITIES THROUGH STATISTICAL PRINCIPLES
Bayesian brain
Bayesian approaches to brain function investigate the capacity of the nervous system to operate in situations of uncertainty in a fashion that is close to the optimal prescribed by Bayesian statistics.Whatever next?
Naive Bayes spam filtering
TECHNIQUE FOR FILTERING SPAM E-MAIL
Bayesian spam filter; Baysian filter; Bayesian filters; Bayesian spam filtering
Naive Bayes classifiers are a popular statistical technique of e-mail filtering. They typically use bag-of-words features to identify email spam, an approach commonly used in text classification.
Musical technique
GROUP OF TECHNIQUES RELATING TO THE COMPOSING, PRODUCTION OR PERFORMANCE OF MUSIC
Technique (music); General Instrumental technique; Performance technique; Instrumental technique; Brass technique; String instrument technique; String technique; Brass instrument technique; Stringed instrument technique; Woodwind technique; Woodwind instrument technique; Percussion technique; Percussion instrument technique; Percussion instrumental technique; Woodwind instrumental technique; Brass instrumental technique; String instrumental technique; Stringed instrumental technique
Musical technique is the ability of instrumental and vocal musicians to exert optimal control of their instruments or vocal cords in order to produce the precise musical effects they desire. Improving one's technique generally entails practicing exercises that improve one's muscular sensitivity and agility.
Bayesian Analysis (journal)
JOURNAL
Bayesian Anal.; Bayesian Anal
Bayesian Analysis is an open-access peer-reviewed scientific journal covering theoretical and applied aspects of Bayesian methods. It is published by the International Society for Bayesian Analysis and is hosted at the Project Euclid web site.
Bayesian statistics
STATISTICS THEORY THAT USES BAYES’ THEOREM TO COMPUTE AND UPDATE PROBABILITIES AFTER OBTAINING NEW DATA
Bayesian models; Bayesian statistic; Bayesian approach; Bayesian Statistics
Bayesian statistics is a theory in the field of statistics based on the Bayesian interpretation of probability where probability expresses a degree of belief in an event. The degree of belief may be based on prior knowledge about the event, such as the results of previous experiments, or on personal beliefs about the event.
Bayesian network
PROBABILISTIC GRAPHICAL MODEL THAT REPRESENTS A SET OF VARIABLES AND THEIR CONDITIONAL DEPENDENCIES VIA A DIRECTED ACYCLIC GRAPH
Baysian network; Belief network; Bayesian networks; Belief networks; Bayes net; Learning bayesian network structure; Bayesian Network; D-separation; Bayesian belief network; Bayes network; Bayesian net; Bayesian belief net; Hierarchical bayes model; Hierarchial bayes; Hierarchical bayes; Bayes networks; Bayesian Networks; Inference network; Bayesian graphical model; Bayesian Graphical Model; Bayesian model; Hierarchical Bayesian model; Causal network; Bayesian Belief Network; Applications of Bayesian networks; Bayesian belief networks; Bayesian decision network; List of Bayesian network software; Bayesian hierarchical model
A Bayesian network (also known as a Bayes network, Bayes net, belief network, or decision network) is a probabilistic graphical model that represents a set of variables and their conditional dependencies via a directed acyclic graph (DAG). Bayesian networks are ideal for taking an event that occurred and predicting the likelihood that any one of several possible known causes was the contributing factor.
Bayesian inference in phylogeny
COMBINATION OF A LIKELIHOOD FUNCTION WITH SOME PRIOR PROBABILITIES TO INFER THE POSTERIOR PROBABILITY DISTRIBUTION OF TREES GIVEN DATA
Bayesian phylogeny; Bayesian tree; MrBayes; MRBAYES; Bayesian phylogenetics
Bayesian inference of phylogeny combines the information in the prior and in the data likelihood to create the so-called posterior probability of trees, which is the probability that the tree is correct given the data, the prior and the likelihood model. Bayesian inference was introduced into molecular phylogenetics in the 1990s by three independent groups: Bruce Rannala and Ziheng Yang in Berkeley, Bob Mau in Madison, and Shuying Li in University of Iowa, the last two being PhD students at the time.
Bayesian game
GAME IN WHICH INFORMATION ABOUT CHARACTERISTICS OF THE OTHER PLAYERS IS INCOMPLETE
Bayesian Nash equilibrium; Perfect bayesian equilibrium; Perfect Bayes-Nash equilibrium; Bayes-Nash equilibrium; Perfect Bayesian equilibria
In game theory, a Bayesian game is a game that models the outcome of player interactions using aspects of Bayesian probability. Bayesian games are notable because they allowed, for the first time in game theory, for the specification of the solutions to games with incomplete information.
Википедия
Bayesian inference
Bayesian inference is a method of statistical inference in which Bayes' theorem is used to update the probability for a hypothesis as more evidence or information becomes available. Bayesian inference is an important technique in statistics, and especially in mathematical statistics. Bayesian updating is particularly important in the dynamic analysis of a sequence of data. Bayesian inference has found application in a wide range of activities, including science, engineering, philosophy, medicine, sport, and law. In the philosophy of decision theory, Bayesian inference is closely related to subjective probability, often called "Bayesian probability".
