Bayesian inference with Python

Silas (Dr. Silas Hsu https://smhsu.github.io/) will introduce the basics of Bayesian statistical inference, including:

• Advantages and disadvantages of Bayesian inference over traditional, frequentist statistics
• A quick review of the theory behind Bayesian inference
• Basic inference by sampling posterior distributions in Python (technical details: Markov Chain Monte Carlo using the NumPyro library)

Basic knowledge of Python and statistics welcome but not necessary!

Building 180 Room 122
Room 122 is on the first floor. You can enter on the first floor (next to building 10) or on the second floor (across from building 180).