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stochastically greater - translation to russian
математика
стохастически (статистически) больше
![Arms of the former [[London County Council]]](https://commons.wikimedia.org/wiki/Special:FilePath/Coat of Arms of London County Council.svg?width=200 "Arms of the former [[London County Council]]")
![[[King's College London]], a founding constituent of the [[University of London]]](https://commons.wikimedia.org/wiki/Special:FilePath/KCL Guys Campus1.jpg?width=200 "[[King's College London]], a founding constituent of the [[University of London]]")
![Logo of the [[Greater London Authority]]](https://commons.wikimedia.org/wiki/Special:FilePath/Logo of the Greater London Authority (monochrome).png?width=200 "Logo of the [[Greater London Authority]]")
![[[University College London]], a founding constituent of the [[University of London]]](https://commons.wikimedia.org/wiki/Special:FilePath/UCL Portico Building.jpg?width=200 "[[University College London]], a founding constituent of the [[University of London]]")
![[[Westminster Abbey]]. A [[World Heritage Site]] and location of the coronation of [[British monarchs]].](https://commons.wikimedia.org/wiki/Special:FilePath/Westminster abbey west.jpg?width=200 "[[Westminster Abbey]]. A [[World Heritage Site]] and location of the coronation of [[British monarchs]].")
[,greɪtə'lʌndən]
общая лексика
Большой Лондон (административно-территориальная единица; состоит из Лондона и частей графств Мидлсекс, Эссекс, Кент, Суррей, Хартфордшир; делится на 32 района и Сити; площадь 1580 км2; население св. 7 млн. жителей; до 1986 управлялась Советом Большого Лондона. Образована в 1965)
синоним
Wikipedia
In game theory, a stochastically stable equilibrium is a refinement of the evolutionarily stable state in evolutionary game theory, proposed by Dean Foster and Peyton Young. An evolutionary stable state S is also stochastically stable if under vanishing noise, the probability that the population is in the vicinity of state S does not go to zero.
The concept is extensively used in models of learning in populations, where "noise" is used to model experimentation or replacement of unsuccessful players with new players (random mutation). Over time, as the need for experimentation dies down or the population becomes stable, the population will converge towards a subset of evolutionarily stable states. Foster and Young have shown that this subset is the set of states with the highest potential.
