StanCon Talks

StanCon 2024 Oxford

  • Location & Date: Oxford University, England – September 9-13, 2024
  • Program
  • Recorded Talks: YouTube playlist
  • Tutorials (not recorded)
    • Introduction to Stan – Richard McElreath
    • Model selection – Aki Vehtari, Noa Kallioinen, and Teemu Säilynoja
    • Bayesian hierarchical models in Stan – Sean Pinkney
    • Bayesian optmization with Stan – Anna Riha and Elizaveta Semenova
    • Biodiversity modeling and forecasting – Will Pearse
    • Infectious disease modeling in Stan – Juliette Unwin
  • Organizers: Charles Margossian, Will Pearse,

StanCon 2023 St. Louis

  • Location & Date: Washington University, USA – June 20-23, 2023
  • Program
  • GitHub repository of slides and course materials from StanCon 2023: https://github.com/stan-dev/stancon2023
  • Tutorials
    • Fundamentals of Stan – Charles Margossian
    • Bayesian workflow illustrated using BRMS – Mitzi Morris
    • Hierarchical models in Stan: varieties, optimizations & nuances – Mike Lawrence
    • Building a GPT in Stan – Daniel Lee
    • Cognitive diagnostic models in R and Stan – Jake Thompson
    • Advances of model assessment, selection, and inference after model selection – Andrew Johnson
  • Organizers: Charles Margossian, Debashis Mondal, Yi Zhang, Eric Ward

StanCon 2020 Global

StanCon 2019 Cambridge

  • Location & Date: University of Cambridge – August 20-23, 2019
  • Program
  • Recorded Talks: YouTube playlist
  • Tutorials (not recorded)
    • Population and ODE-based models using Stan and Torsten – Charles Margossian & Yi Zhang
    • Hierarchical Modeling with Stan – Ben Goodrich
    • Model assessment and selection – Aki Vehtari
    • A Dive into Stan’s C++ Model Concept – Daniel Lee
    • Introduction to Stan for Programmers – Jonathan Auerbach & Breck Baldwin
    • Basics of Bayesian inference and Stan – Jonah Gabry & Lauren Kennedy
  • Organizers: University of Cambridge

StanCon 2018 Helsinki

  • GitHub Repo for StanCon 2018 Helsinki
  • Recorded Talks: YouTube playlist
  • Tutorials:
    • Basics of Bayesian inference and Stan – Jonah Gabry & Lauren Kennedy
    • Hierarchical models – Ben Goodrich
    • Stan C++ development: adding a new function to Stan – Bob Carpenter, Sean Talts & Mitzi Morris
    • Ordinary differential equation (ODE) models in Stan – Daniel Lee
    • Productization of Stan – Eric Novik
    • Model assessment and selection – Aki Vehtari
  • Location & Date: Aalto University, Helsinki, Finland – August 29-31, 2018
  • Organizers: Aalto University

StanCon 2018 Asilomar

  • GitHub Repo for StanCon 2018 Asilomar
  • Recorded Talks: YouTube playlist
  • Tutorials (not recorded)
    • Introduction to Stan – Jonah Sol Gabry, Mitzi Morris & Sean Talts
    • Executive decision making the Bayesian way – Jonathan Auerback & Eric Novik
    • Advanced Hierarchical Models in Stan – Ben Goodrich
    • Model assessment, selection and inference after model selection – Aki Vehtari
    • How to develop for Stan at the C++ level – Charles Margossian
    • A Dive into Stan’s C++ Model Concept – Daniel Lee
  • Location & Date: Asilomar Conference Center, Pacific Grove, California, USA – Jan 10-12, 2018
  • Organizers: Columbia University

StanCon 2017 New York City

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