Understanding probability and statistics is increasingly crucial in the data-driven era, and Bayesian statistics stands out as a powerful, intuitive approach for making sense of uncertainty. A Student’s Guide to Bayesian Statistics by Ben Lambert demystifies this statistical paradigm, breaking down complex concepts and mathematical formalism into accessible explanations for learners at all levels. The book is structured to gradually build the reader’s confidence, beginning with foundational ideas and advancing toward practical application, simulation, and interpretation—making Bayesian thinking an approachable and valuable tool for students, analysts, and researchers alike.

• Bayesian statistics...
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