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Stan in St. Louis this Friday

This Friday afternoon I (Jonah) will be speaking about Stan at Washington University in St. Louis. The talk is open to the public, so anyone in the St. Louis area who is interested in Stan is welcome to attend. Here are the details:

Title: Stan: A Software Ecosystem for Modern Bayesian Inference
Jonah Sol Gabry, Columbia University

Neuroimaging Informatics and Analysis Center (NIAC) Seminar Series
Friday April 28, 2017, 1:30-2:30pm
NIL Large Conference Room
#2311, 2nd Floor, East Imaging Bldg.
4525 Scott Avenue, St. Louis, MO



  1. FrequentistAnon says:

    links appear to be dead?

  2. eric says:

    There’s only one Stan in St. Louis, dude: Stan Musial. Be prepared for a lot of confused attendees.

  3. Here’s an alternative link:

    Don’t know if cache links persist, but in case you want the album cover photo of Jonah, here goes:

    Oddly no abstract for the talk, but there is a long bio for Jonah:

    Jonah Gabry is a Statistician at Columbia University, collaborating with Andrew Gelman on methods and software for Bayesian data analysis. He is a member of the Stan core development team. The Stan project develops free and open-source software for Bayesian statistical modeling that interfaces with the most common data analysis platforms (R, Python, MATLAB, Stata, etc.). The Stan language and inference algorithms are used throughout academia and industry for everything from clinical drug trials, to professional sports analytics, to gravitational wave detection. He is co-author of the rstan and rstanarm R packages, which provide interfaces to Stan. He is author and maintains the shinystan and bayesplot packages for model visualization, and the loo R package for model comparison. In addition to developing statistical software, Jonah is affiliated with Columbia’s Institute of Social and Economic Policy and Research, and the Columbia Population Research Center, where he is an advisor on statistical issues related to the collection and analysis of survey data. In this talk, Jonah Gabry will present an introduction to Stan, and discuss how Stan’s algorithms leverage connections between high-dimensional probability distributions and physics to make it easier for researchers to estimate the increasingly complex models of interest in the social, biological, and physical sciences.

  4. Andrew says:

    Stan always gets the Large Conference Room. Never the Small Conference Room.

  5. Dustin says:

    Fair warning: during my postdoc, I went to a presentation in that room. The speaker commented that Wash U was the only place he had been to where the audience brings their own laser pointers…

  6. C Ryan says:

    Aw, I took a bad week not to read the blog and missed it! I was in the OR anyway at that time, but I would have sent some students that way had I seen. Hope it went well.

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