Events
StanCon 2024
StanCon 2024 Tentative date: September 9-13, at the University of Oxford, UK.
StanCon 2023
StanCon 2023 June 20-21, at the Washington University in St. Louis was a great success.
Slides and materials from the talks and presentations are available at https://github.com/stan-dev/stancon2023
We thank our sponsors for their generosity, all of the speakers for sharing their expertise, the StanCon organizing committee and the local organizers for many, many hours of hard work, and the WUSTL staff for their hospitality. Many, many thanks to all of the participants for making this a rewarding experience!
StanConnect
StanConnect - Simulation Based Calibration, 31 August 2021
Register here
StanConnect - Ecology Part 1, 30 September 2021
Register here
StanConnect - Ecology Part 2, 4 October 2021
Register here
StanConnect - Biomedical , 19 October 2021
Register here
StanConnect - Cognitive Science and Neuroscience, 19 November 2021
Register here
Stan Conferences
StanCon 2023. St. Louis, MO, 20-23 June
StanCon 2020. Online 24h event, 13 August
StanCon 2019. Cambridge, England 20-23 August
StanCon 2018 - Helsinki, Finland 29-31 August
StanCon 2018 - Asilomar, California 10-12 January
You can learn about Stan through introductory and specialized courses, or in many presentations at meetups and other venues.
An Introduction to the Stan Software for Bayesian Analysis
- Speaker
- Ben Goodrich
- Date
- 3 July 2017, 6:30–7:30pm
- Location
- Berlin, Germany
- Venue
- The Hub @ Zalando
- Details
- View
How to Use (R)Stan to Estimate Models in External R Packages
- Speaker
- Ben Goodrich
- Date
- 6 July 2017, 2:24–2:42pm
- Location
- Brussels, Belgium
- Venue
- useR 2017 Conference
- Details
- View
Past
Stan: A Software Ecosystem for Modern Bayesian Inference
- Speaker
- Jonah Gabry
- Date
- 28 April 2017, 1:30–2:30pm
- Location
- St. Louis, MO
- Venue
- Neuroinformatics Research Group (Washington University in St. Louis)
- Details
- View
Advanced use of Stan, rstan and Torsten for pharmacometric applications
- Date
- 10 June 2017, 08:00–17:00
- Location
- Budapest
- Venue
- PAGE 2017
- Details
- View
StanCon: Saturday January 21, 2017
- Date
- 21 January 2017
- Location
- New York, NY (USA)
- Venue
- Columbia University, Davis Auditorium
- Details
- View
Getting Started with PK/PD Modeling using Stan
- Instructor
- Bill Gillespie
- Date
- 23 October 2016 (Sunday)
- Location
- Seattle (USA)
- Venue
- American Conference on Pharmacometrics (ACoP)
- Details
- View
ASA Webinar: Introduction to Stan - From Logistic Regression to PK/PD ODE Models
- Instructor
- Sebastian Weber
- Date
- 06 October 2016
- Location
- Webinar
- Details
- View
Stan for Pharmacometrics Day (Free Workshop)
- Date
- 22 September 2016
- Location:
- Paris (France)
- Details
- View
Bayesian Inference with Stan for Pharmacometrics
- Instructors
- Michael Betancourt, Daniel Lee, Bob Carpenter
- Dates
- 19–21 September 2016
- Location:
- Paris (France)
- Details
- View
Bayesian Inference in Stan
- Instructor
- Daniel Lee
- Date
- 23–24 August 2016
- Location:
- Anchorage, Alaska (USA)
- Venue
- Alaska Science Center
- Details
- View
An Introduction to Econometric Modeling using Stan
- Instructor
- Ben Goodrich
- Date
- 02 August 2016
- Location:
- Boston, Massachusetts (USA)
- Venue
- Applied and Agricultural Economics Association
- Details
- Forthcoming
Introduction to Stan with Climate Change Example
- Speaker
- Ben Goodrich and Dan Flynn
- Date
- 1 August 2016
- Location
- IBM Cambridge (Boston, USA)
- Venue
- Greater Boston useR Group
- Details
- View
An Introduction to Stan
- Instructors
- Ben Goodrich and Eric Novik
- Date
- 30 July 2016 (Saturday)
- Location:
- Chicago, Illinois (USA)
- Venue
- Joint Statistical Meetings
- Details
- Session information
Learn Bayes, MCMC, and Stan
- Instructors
- Andrew Gelman, Jonah Gabry, Vince Dorie
- Dates
- 18–20 July 2016
- Location
- New York City (USA)
- Details
- View
Survival Models with Stan
- Instructors
- Jacki Buros
- Date
- 28 July 2016 (Thursday)
- Location:
- New York, New York (USA)
- Venue:
- Google office
- Details
- Meetup
Bayesian Modeling Using Stan
- Instructors
- Ben Goodrich and Daniel Furr
- Date
- 11 July 2016 (Monday)
- Location:
- Asheville, North Carolina (USA)
- Venue
- International Meeting of the Psychometric Society
- Details
- Accepted proposal
An Introduction to Bayesian Inference using R Interfaces to Stan
- Instructor
- Ben Goodrich
- Date
- 27 June 2016 (Monday)
- Location:
- Stanford, California (USA)
- Venue
- useR 2016
- Details
- abstract
Introduction to Bayesian Inference using Stan with Applications to Cancer Genomics
- Instructors
- Jacki Buros, Ben Goodrich, and Eric Novik
- Date
- 26 June 2016 (Monday)
- Location:
- Stanford, California (USA)
- Venue
- Bioconductor 2016
Introduction to Stan
- Instructor
- Sebastian Weber
- Date
- 12 June 2016 (Sunday)
- Location:
- Santa Margherita di Pula, Sardina (Italy)
- Venue
- International Society for Bayesian Analysis (ISBA)
- Details
- View
Getting Started with PK/PD Modeling using Stan
- Instructor
- Bill Gillespie
- Date
- 10 June 2016 (Friday)
- Location
- Lisbon (Portugal)
- Venue
- Population Approach Group Europe (PAGE)
- Details
- View
Life Is Precious: Fix Your Sampling Problems
- Instructor
- Jonah Gabry
- Date
- 9 June 2016 (Thursday)
- Location
- New York (USA)
- Venue
- Bayesian Data Analysis Meetup
- Details
- View
Fitting and Diagnosing Models with RStan and ShinyStan
- Instructor
- Jonah Gabry
- Date
- 11 May 2016 (Wednesday)
- Location
- Cambridge, Massachusetts (USA)
- Venue
- Stan Users - Boston/Camberville meetup
- Details
- Harvard University Herbaria
22 Divinity Ave (map)
6:00 PM
Introduction to Stan Talk
- Instructor
- Eric Novik
- Date
- Sometime 20 – 22 May 2016 (Weekend)
- Location
- Boston, Massachusetts (USA)
- Venue
- Open Data Science Conference (ODSC)
- Details
- Forthcoming when day and time are set
A Probability Model for Golf Putting
- Instructor
- Daniel Lee
- Date
- 25 April 2016 (Monday)
- Location
- New York (USA)
- Venue
- Bayesian Data Analysis Meetup
- Details
- View
Bayes/Stan Short Course
- Instructor
- Andrew Gelman
- Date
- 21 April 2016 (Thursday)
- Location
- Mountain View, California (USA)
- Venue
- Details
- Google employees only.
Introduction to Bayesian Modeling with Stan in R
- Instructors
- Bob Carpenter, Krzysztof Sakrejda
- Date
- 22 April 2016 (Friday)
- Location
- New Haven, Connecticut (USA)
- Venue
- New England Statistics Symposium (NESS)
- Details
- View
Stan Demo
- Instructor
- Jonah Gabry
- Date
- 06 April 2016 (Wednesday)
- Location
- New York, New York (USA)
- Time
- 2:00 PM to 4:30 PM
- Venue
- Columbia University, Lerner Hall
- Details
- Columbia Data Science Day (Buy tickets)
- Abstract