<ul><li>Bayesian statistics is a powerful framework for reasoning under uncertainty, providing a principled way to update beliefs in light of new evidence.</li><li>Unlike classical statistics, which focuses on estimating fixed parameters, Bayesian statistics treats parameters as random variables with probability distributions.</li><li>Bayesian inference is the process of updating prior beliefs about unknown quantities based on observed data, using Bayes’ theorem.</li><li>By mastering the basics of Bayesian statistics, you gain a powerful toolset for data analysis, modeling, and decision-making across various domains.</li></ul>

Mastering the Basics of Bayesian Statistics

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