The four-day event will be two days of tutorials and two days of talks, open discussions, and statistical modeling. Up-to-date information can be found at https://mc-stan.org/events/stancon2020.
Registration fees cover the entire 4-day conference. This includes coffee and lunch and a conference dinner on Wednesday night.
Early Registration (rates go up May 1, 2020)
- Student: $150
- Academic: $300
- Industry: $450
Register here: https://stancon2020.eventbrite.com
We are pleased to have Dr. Elizabeth M. Wolkovich. Second speaker to be announced.
Basics of Bayesian inference and Stan. August 11-12 all day.
Instructor Jonah Gabry.
We will review some of the foundational concepts in Bayesian statistics that are essential background for anyone interested in using Bayesian methods in practice. Then we will introduce the Stan language and the recommended workflow for applied Bayesian data analysis by working through an example analysis together. Since we only have 2 days for this tutorial it will be beneficial for participants to have at least some previous experience with statistical modeling, but prior experience fitting Bayesian models is not a requirement. We will be interfacing with Stan from R, but users of Python and other languages/platforms can still benefit from the tutorial as all of the code we write in the Stan language (and all of the modeling techniques and concepts covered) can be used with any of the Stan interfaces.
More tutorials to be announced.
Call for proposals
We are seeking proposals for:
- tutorials: either half-day or full-day
- thematic sessions: half-day sessions of talks in a single theme
- contributed talks
Please see https://mc-stan.org/events/stancon2020 for more details.
- Susana Marquez. The Rockefeller Foundation.
- Eric J. Ward. Northwest Fisheries Science Center (NOAA).
- Debashis Mondal. Statistics Department. Oregon State University.
- Yi Zhang. Metrum Research Group.
- Daniel Lee. Generable.