markov models
Markov models are mathematical frameworks used to analyze systems that evolve over time, where the future states of the system only depend on its current state. They are named after Andrey Markov, a Russian mathematician, and are widely used in various fields such as probability theory, statistics, and artificial intelligence. Markov models are characterized by their memoryless property, making them efficient for analyzing processes with limited historical information.
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