Bayesian Estimation Program

This program, developed in MATLAB, implements Bayesian estimation techniques for comprehensive statistical analysis. The Bayesian estimation algorithm is structured using probabilistic modeling approaches with prior and posterior distribution calculations, allowing users to better understand data distributions and uncertainty quantification. The implementation includes key functions for parameter estimation using Markov Chain Monte Carlo (MCMC) methods or conjugate prior updates where applicable. Additionally, the program incorporates valuable features such as data visualization components with plot generation functions and result interpretation modules with statistical summary outputs. These functionalities enable users to conduct detailed data exploration through interactive graphical interfaces and automated report generation. Overall, this program serves as a robust analytical tool that facilitates deeper data comprehension and informed decision-making through Bayesian statistical frameworks.