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Что (кто) такое Markov's chains - определение

INEQUALITY APPLYING TO NON-NEGATIVE RANDOM VARIABLES

Markov inequality; Markov’s inequality

$Markov's inequality gives an upper bound for the measure of the set (indicated in red) where <math>f(x)</math> exceeds a given level <math>\varepsilon</math>. The bound combines the level <math>\varepsilon</math> with the average value of <math>f</math>.$

Alice in Chains discography

WIKIMEDIA BAND DISCOGRAPHY

Alice in Chains Discography; Alice in chains discography; Aic discography; Alice in Chains music videos; Alice in Chains singles; Alice in Chains albums; AIC discography

The discography of Alice in Chains, a Seattle-based rock band, consists of six studio albums, three extended plays (EP), three live albums, five compilations, two DVDs, 44 music videos, and 32 singles (as of September 2019).

https://en.wikipedia.org/wiki/Alice_in_Chains_discography

Markov's inequality

In probability theory, Markov's inequality gives an upper bound for the probability that a non-negative function of a random variable is greater than or equal to some positive constant. It is named after the Russian mathematician Andrey Markov, although it appeared earlier in the work of Pafnuty Chebyshev (Markov's teacher), and many sources, especially in analysis, refer to it as Chebyshev's inequality (sometimes, calling it the first Chebyshev inequality, while referring to Chebyshev's inequality as the second Chebyshev inequality) or Bienaymé's inequality.

https://en.wikipedia.org/wiki/Markov's_inequality

Chains (1949 film)

1950 FILM BY RAFFAELLO MATARAZZO

Catene (1949 film); Chains (1949 film)

Catene (internationally released as Chains) is a 1949 Italian melodrama film directed by Raffaello Matarazzo. It had an impressive commercial success, being seen by 6 million people, one in eight Italians of the time, and was followed by a series of six other successful films directed by Matarazzo and featuring the couple Amedeo Nazzari and Yvonne Sanson.

https://en.wikipedia.org/wiki/Chains_(1949_film)

Википедия

Markov's inequality

In probability theory, Markov's inequality gives an upper bound for the probability that a non-negative function of a random variable is greater than or equal to some positive constant. It is named after the Russian mathematician Andrey Markov, although it appeared earlier in the work of Pafnuty Chebyshev (Markov's teacher), and many sources, especially in analysis, refer to it as Chebyshev's inequality (sometimes, calling it the first Chebyshev inequality, while referring to Chebyshev's inequality as the second Chebyshev inequality) or Bienaymé's inequality.

Markov's inequality (and other similar inequalities) relate probabilities to expectations, and provide (frequently loose but still useful) bounds for the cumulative distribution function of a random variable.

https://en.wikipedia.org/wiki/Markov's inequality