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Что (кто) такое stationary probability - определение
WIKIMEDIA DISAMBIGUATION PAGE
Stationary probability distribution
improbability
![[[Gerolamo Cardano]] (16th century)](https://commons.wikimedia.org/wiki/Special:FilePath/Cardano.jpg?width=200 "[[Gerolamo Cardano]] (16th century)")
![[[Christiaan Huygens]] published one of the first books on probability (17th century)](https://commons.wikimedia.org/wiki/Special:FilePath/Christiaan Huygens-painting.jpeg?width=200 "[[Christiaan Huygens]] published one of the first books on probability (17th century)")
.svg?width=200 "The probabilities of rolling several numbers using two dice.")
MEASURE OF THE EXPECTATION THAT AN EVENT WILL OCCUR OR A STATEMENT IS TRUE
Probality; Probabilistic; Probabilities; Probability calculus; Improbability; Probability.; Probable; Propability; Forward probability; Applications of probability theory
see improbable
probabilistic
MEASURE OF THE EXPECTATION THAT AN EVENT WILL OCCUR OR A STATEMENT IS TRUE
Probality; Probabilistic; Probabilities; Probability calculus; Improbability; Probability.; Probable; Propability; Forward probability; Applications of probability theory
Probabilistic actions, methods, or arguments are based on the idea that you cannot be certain about results or future events but you can judge whether or not they are likely, and act on the basis of this judgment. (FORMAL)
...probabilistic exposure to risk.
ADJ: usu ADJ n
probable
MEASURE OF THE EXPECTATION THAT AN EVENT WILL OCCUR OR A STATEMENT IS TRUE
Probality; Probabilistic; Probabilities; Probability calculus; Improbability; Probability.; Probable; Propability; Forward probability; Applications of probability theory
a.
Likely, presumable, credible, reasonable, to be expected, that stands to reason.
Википедия
Stationary distribution
Stationary distribution may refer to:
- A special distribution for a Markov chain such that if the chain starts with its stationary distribution, the marginal distribution of all states at any time will always be the stationary distribution. Assuming irreducibility, the stationary distribution is always unique if it exists, and its existence can be implied by positive recurrence of all states. The stationary distribution has the interpretation of the limiting distribution when the chain is irreducible and aperiodic.
- The marginal distribution of a stationary process or stationary time series
- The set of joint probability distributions of a stationary process or stationary time series
In some fields of application, the term stable distribution is used for the equivalent of a stationary (marginal) distribution, although in probability and statistics the term has a rather different meaning: see stable distribution.
Crudely stated, all of the above are specific cases of a common general concept. A stationary distribution is a specific entity which is unchanged by the effect of some matrix or operator: it need not be unique. Thus stationary distributions are related to eigenvectors for which the eigenvalue is unity.
