StanCon

StanCon 2024 Oxford

  • Location & Date: Oxford University, England – September 9-13, 2024
  • Program
  • Recorded Talks: YouTube playlist
  • Keynotes:
    • The Pragmatic Probabilistic Programmer – Mitzi Morris
    • Applied modeling for drug development – Sebastian Weber
    • From the Depths to the Stars: How Modeling Shark Movements Illuminates Star Behavior – Vianey Leos Barajas
    • Bayesian multilevel causal modelling of the frequency and implications of having two HIV infections – Chris Wymant
  • 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: Michael Collyer, Ellen Mobbs, Joss Wright, Richard McElreath, Elizaveta Semenova, Ben Lambert, Seth Flaxman, Charles Margossian, Juliette Unwin, Will Pearse, Makkunda Sharma
  • Sponsors: Daiichi-Sankyo, Metrum Research Group, Generable, Jumping Rivers, Taylor and Francis, NumFocus, the Oxford Internet Institute, and the Max Planck Institute for Evolutionary Anthropology
  • Archived event page

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
  • Keynotes
    • The efficient frontier: Bayes, neural nets, and the future of Stan – Bob Carpenter
    • We all can benefit from Bayesian analysis reporting guidelines if we use them – John Kruschke
    • Statistical Significance Makes our Mission: Impossible – Mariel Finucane
    • Regression Under Endogeneity: Bernstein-von Mises Theory and Bayes Factors Testing – Siddhartha Chib
  • 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, Eric Ward, Vianey Leos Barajas, Yi Zhang
  • Sponsors: Washington University in St Louis, Metrum Research Group, NumFocus, Sage Therapeutics, Jumping Rivers
  • Archived event page

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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