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This video introduces the 1st hour of our popular seminar, "Applied Bayesian Data Analysis" taught by Roy Levy.
About this seminar:
Over the last 25 years, Bayesian methods have transformed statistics, enabling intuitive probability statements and the integration of diverse data types. This seminar covers the basics of Bayesian principles, starting with binomial and univariate normal models, then progressing to simple and multiple regression. Key topics include model construction, specifying prior distributions, graphical representations of models, practical aspects of Markov chain Monte Carlo (MCMC) estimation, evaluating hypotheses and data-model fit, and model comparisons. Examples use R and Stan.
Whether you're a social scientist, educator, or data enthusiast, this seminar will equip you with the skills to apply Bayesian methods effectively.
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