Statistical Horizons presents Applied Bayesian Data Analysis taught by Roy Levy. Held remotely via Zoom on September 23-25, this course offers a theoretical and practical introduction to Bayesian statistical modeling.

Topics covered include:

• Machinery and interpretations of probability
• Review of frequentist inference
• Introducing Bayesian inference
• Bernoulli/binomial models
• Summarizing posterior distributions
• Accumulation of evidence
• Normal distribution models
• Practical orientation to Markov chain Monte Carlo estimation
• Regression models
• Evaluating hypotheses about parameters & model comparison
• Model checking
• Principles of specifying prior distributions

This course is held live on Zoom each day from 10:30am-2:30pm ET, with an additional hands-on lab session Thursday and Friday afternoons from 4pm-5pm ET. You'll also have the option to join any or all of the course asynchronously by viewing recorded videos of each session.