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MARKOV CHAINS
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MARKOV CHAINS
DEFINITION
- A discrete stochastic process in which the probability of an event occurring depends only on the immediately preceding event, it is named after the Russian mathematician Andrei Markov (1856-1922), who introduced it in 1906.
TYPES OF MARKOV CHAINS
- Irreducible chains
- Positive-recurring chains
- Regular chains
- Absorbent chains
- Markov chains in continuous time
MARKOV CHAIN APPLICATIONS
- Physical
- Internet
- Casino
- Economy
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- Mind Map on MARKOV CHAINS, created by ADRIAN CASTAÑO on 01/10/2020.
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- ADRIAN CASTAÑO
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