Markov is a term originating from the name of Russian mathematician Andrey Markov. It is commonly used to describe a mathematical process where the probability of future events is determined by the current state of the system independently of the past events. The term is often used interchangeably with terms like stochastic, random, or probabilistic. Other synonyms for Markov include probability chain, transition probability, and Markovian model. It is also associated with various models that depend on the state of the system, such as Markov processes, Markov chains, and Hidden Markov Models. These models have broad applications in fields such as physics, biology, finance, and economics, among others.