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On the discrete and continuous Markov processes

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Markov processes serve as foundational models for various stochastic systems.
Discrete and continuous markov chains are introduced with essential definitions and applications.
Applications of markov processes include areas such as economics and physics.
Understanding markov processes can enhance predictive modeling and decision-making.

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Analysis reveals key applications of markov processes in various fields, highlighting their fundamental concepts.

Stefan M. Stefanov (2025) studied this question.

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