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Busıness Decısıon Models Deneme Sınavı Sorusu #1392229

I.The chain does not stop changing.

II.The probabilities do not change with respect to time.

III. Limiting probability may converge to steady-state values that are independent of the initial state.

Which one/ones above is/are correct about "the steady-state (or limiting) behavior of a Markov chain"?


Only I

I-II

I-III

II-III

I-II-III

Yanıt Açıklaması:

Limiting probability and it may converge to steady-state values that are independent of the initial state. The steady-state (or limiting) behavior of a
Markov chain means that the chain does not stop changing but that enough time has elapsed, so that the probabilities do not change with respect to time.

PAYLAŞ:

SORUNUN CEVABI: E

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