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SUMMARY:Introduction to Bayesian Statistics for Social Scientists
DESCRIPTION:This course will familiarise students with the basic concepts of Bayesian theory. It is designed to provide an introduction to the principles\, methods\, and applications of Bayesian statistics. Bayesian statistics offers a powerful framework for data analysis and inference\, allowing for the incorporation of prior knowledge and uncertainty in a coherent and systematic manner. \n\nThe course covers: \n\nThe Basics of Probability\nBayes’ Theorem and Bayesian inference\nProbability Functions\nBayesian Conjugates\nMarkov Chain Monte Carlo\nApplications\n\n  \nBy the end of the course participants will: \n\nBe able to understand the basics of Bayesian analysis\nPerform simple Bayesian analyses\nApply simple models to their own work\n\n  \nThe course will be split across two days. On both days\, participants will work through a two-hour pre-recorded lecture in the morning and attend a two-hour live session at 2pm where they will have the opportunity to apply their learning to practical examples.
URL:https://www.swdtp.ac.uk/event-calendar/introduction-to-bayesian-statistics-for-social-scientists/2025-03-26/
CATEGORIES:Training
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