Markov Chain MATLAB Code for Telephone User Arrears Prediction

This article provides a detailed walkthrough of a Markov chain-based algorithm implementation for predicting telephone user payment delinquency. The predictive model enables telecommunications companies to better understand customer payment behaviors and optimize financial planning. Our MATLAB implementation breaks down the workflow into clearly annotated functional blocks, including state definition, transition probability matrix calculation, and prediction step implementation. The code demonstrates key Markov chain concepts such as state transitions between "paid" and "arrears" statuses, probability matrix initialization using historical data, and iterative prediction computations. Each section contains explanatory comments covering algorithm logic, matrix operations using MATLAB's built-in functions, and parameter adjustment methods. Whether you're new to predictive modeling or an experienced developer, this implementation offers practical insights into Markov chain applications with customizable parameters for different business scenarios.