Stan and probabilistic programming
Monday, September 21, 2020, 09:30–11:00
Abstract: I will introduce probabilistic programming framework Stan and discuss in general about the benefits of probabilistic programming for Bayesian modeling. There will be time for questions and answers.
Biography: Aki Vehtari is an associate professor in computational probabilistic modeling at Aalto University. He is well known for his work on Bayesian model assessment and selection, Gaussian processes, approximative inference methods, and inference diagnostics. He is a co-author of the best-selling and award winning text book Bayesian Data Analysis, 3rd ed, a text book Regression and other stories (in press), and over 100 articles. He is one of the core developers of the probabilistic programming platform Stan, which has more than one hundred thousands users in science and industry.