markov chain models
Markov chain models are mathematical representations that describe a sequence of events or states, where the probability of transitioning from one state to another only depends on the current state. These models display a property known as the Markov property, making them suitable for analyzing and predicting various systems and phenomena, including weather patterns, stock market movements, and genetic sequences.
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