Modeling and Analyzing Random Data Using Markov Processes and Their Applications in Prediction
Keywords:
Markov processes, stochastic modeling, probability theory, data prediction, statistical analysisAbstract
This research explores the application of Markov processes in statistical modeling for analyzing random data. The study investigates transition probabilities, stationary distributions, and predictive accuracy in real-world datasets. Practical applications include financial forecasting, risk assessment, and reliability analysis.
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