Hello all,
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.
Please share this information with any colleagues, grad students, or others who may be interested. Email
[log in to unmask] with any questions.
Best,
Ashley