StanCon’s version of conference proceedings is a collection of contributed talks based on interactive notebooks. Every submission is peer reviewed by at least two members of the Stan Conference Organizing Committee. This repository contains all of the accepted notebooks as well as any supplementary materials required for building the notebooks. The slides presented at the conference are also included.
License: unless otherwise noted, the text in this repository is distributed under the CC BY 4.0 License and code is distributed under the New BSD License. Copyright to the authors.
- January 21st, 2017 / Columbia University / New York
- Organizing committee (reviewers)
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Jonathan Auerbach, Rob Trangucci: Twelve Cities: Does lowering speed limits save pedestrian lives?
- Presenter: Jonathan Auerbach is a PhD candidate in the Department of Statistics at Columbia University.
- Notebook and materials
- Slides
- Video
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Milad Kharratzadeh: Hierarchical Bayesian Modeling of the English Premier League
- Presenter: Milad Kharratzadeh is a Postdoctoral Research Scientist in Statistics at Columbia University working with Andrew Gelman. He is jointly appointed at the Earth Institute and the Data Science Institute. His main focus is on developing new statistical methods and using hierarchical Bayesian models for analyzing social, environmental, and health data.
- Notebook and materials
- Slides
- Video
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Victor Lei, Nathan Sanders, Abigail Dawson: Advertising Attribution Modeling in the Movie Industry
- Presenter: Victor Lei is a data scientist with the Applied Analytics group at Legendary Entertainment. He has a varied background, with experience in law, computer science and finance.
- Notebook and materials
- Slides
- Video
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Woo-Young Ahn, Nate Haines, Lei Zhang: hBayesDM: Hierarchical Bayesian modeling of decision-making tasks
- Presenter: Woo-Young (Young) Ahn is an assistant professor in the Department of Psychology and Translational Data Analytics at the Ohio State University. He earned his Ph.D. in clinical science from Indiana University, Bloomington, S.M. in applied physics from Harvard University, and B.S. in materials science and engineering from Seoul National University.
- Notebook and materials
- Slides
- Video
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Charles Margossian, Bill Gillespie: Differential Equation Based Models in Stan
- Presenter: Charles Margossian is a visiting scientist at Metrum Research Group, a biomedical lab that specializes in modeling and simulation. He joined Stan's development team this September to work on tools for differential equation based models.
- Notebook and materials
- Slides
- Video
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Teddy Groves: How to Test IRT Models Using Simulated Data
- Presenter: Teddy Groves completed his PhD in inductive logic and philosophy of statistics at Kent University and now works for Football Radar, a football statistics company based in London. His interests include politics, Rudolf Carnap’s writing about probability and applying statistical methods to football.
- Notebook and materials
- Slides
- Video
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Bruno Nicenboim, Shravan Vasishth: Models of Retrieval in Sentence Comprehension
- Presenter: Bruno Nicenboim is a PhD candidate at the Department of Linguistics of the University of Potsdam, Germany. His research focus is on cognitive models that link memory processes with sentence comprehension, taking into account individual differences. He currently teaches graduate and undergraduate level courses at the University of Potsdam.
- Notebook and materials
- Slides
- Video
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Rob Trangucci: Hierarchical Gaussian Processes in Stan
- Presenter: Rob Trangucci is a statistician in NYC working with the Stan team.
- Notebook and materials
- Slides
- Video
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Nathan Sanders, Victor Lei: Modeling the Rate of Public Mass Shootings with Gaussian Processes
- Presenter: Nathan Sanders is the Senior Director of Quantitative Analytics at Legendary Entertainment and has used Stan to model systems in astronomy, film, environmental policy, public health, and more.
- Notebook and materials
- Slides
- Video