PyMCon 2020 Schedule

UTC + 0 UTC - 7 Sprints Bernoulli Track Gaussian Track
9:00 AM 2:00 AM Welcome and Orientation
9:15 AM 2:15 AM
9:30 AM 2:30 AM Keynote 1
Chris Fonnesbeck
9:45 AM 2:45 AM
10:00 AM 3:00 AM
10:15 AM 3:15 AM Buffer
10:30 AM 3:30 AM Keynote 2
Viola Priesemann
10:45 AM 3:45 AM
11:00 AM 4:00 AM
11:15 AM 4:15 AM Q&A
11:30 AM 4:30 AM Social Hour
11:45 AM 4:45 AM
12:00 PM 5:00 AM
12:15 PM 5:15 AM
12:30 PM 5:30 AM PyMC Sprint
(Room 1)		 Demystifying Variational Inference by Sayam Kumar Priors of Great Potential by Vincent D. Warmerdam & Matthijs Brouns
12:40 PM 5:40 AM A Tour of Model Checking techniques by Rob Zinkov Hierarchical Time Series With Prophet and PyMC3 by Matthijs Brouns
12:50 PM 5:50 AM My Journey in Learning and Relearning Bayesian Statistics by Ali Akbar Septiandri Using Hierarchical Multinomial Regression to Predict Elections in Paris at the District-Level by Alex Andorra
1:00 PM 6:00 AM The Bayesian Workflow: Building a COVID-19 Model by Thomas Wiecki The MLDA Multilevel Sampler in PyMC3 by Tim Dodwell, Mikkel Lykkegaard, Grigorios Mingas
1:10 PM 6:10 AM Automatic Transformation of Bayesian Probabilistic Models Into Interactive Visualizations by Evdoxia Taka An Alcohol? What Are the Chances! Knowledge-Based and Probabilistic Models in Chemistry Using PyMC3 by Hessam Mehr and Dario Caramelli
1:20 PM 6:20 AM Partial Missing Multivariate Observation and What to Do With Them by Junpeng Lao Using Hierarchical Models in Instrumental Variable Analysis for Advertising Effectiveness by Ruben Mak
1:30 PM 6:30 AM Calibr8: Going Beyond Linear Ranges With Non-Linear Calibration Curves and Multilevel Modeling by Michael Osthege, Laura Helleckes Estimating the Causal Network of Developmental Neurotoxicants Using PyMC3 by Nicoleta Spinu
1:40 PM 6:40 AM Posterior Predictive Sampling in PyMC3 by Luciano Paz Including Partial Differential Equations in Your PyMC3 Model by Ivan Yashchuk
1:50 PM 6:50 AM Building an ordered logistic regression model for toxicity prediction by Elizaveta Semenova Buffer
2:00 PM 7:00 AM Keynote 3
Aki Vehtari
2:15 PM 7:15 AM
2:30 PM 7:30 AM
2:45 PM 7:45 AM Q&A
3:00 PM 8:00 AM
3:15 PM 8:15 AM Ending notes

UTC + 0 UTC - 7 Geometric Track
4:00 PM 9:00 AM Welcome and Orientation
4:15 PM 9:15 AM
4:30 PM 9:30 AM Keynote 1
Chris Fonnesbeck
4:45 PM 9:45 AM
5:00 PM 10:00 AM
5:15 PM 10:15 AM Q&A
5:30 PM 10:30 AM Keynote 2
Aki Vehtari
5:45 PM 10:45 AM
6:00 PM 11:00 AM
6:15 PM 11:15 AM
6:30 PM 11:30 AM
6:45 PM 11:45 AM Social Hour
7:00 PM 12:00 PM
7:15 PM 12:15 PM
7:30 PM 12:30 PM Microbial Cell Counting in a Noisy Environment by Cameron Davidson-Pilson
7:40 PM 12:40 PM Sequential Monte Carlo: Introduction and Diagnostics by Pedro German Ramirez, Osvaldo Martin
7:50 PM 12:50 PM Learning Bayesian Statistics With Pokemon GO by Tushar Chandra
8:00 PM 1:00 PM Studying Glycan 3D Structures With PyMC3 and ArviZ by Agustina Arroyuelo
8:10 PM 1:10 PM The Bayesian Zig Zag: Developing and Testing PyMC Models by Allen Downey
8:20 PM 1:20 PM Bayesian Machine Learning: A PyMC-Centric Introduction by Quan Nguyen
8:30 PM 1:30 PM The Why and How of One Domain-Specific PyMC3 Extension by Dan Foreman-Mackey
8:40 PM 1:40 PM A Bayesian Approach to Media Mix Modeling by Michael Johns , Zhenyu Wang
8:50 PM 1:50 PM What Is Probability? A Philosophical Question With Practical Implications for Bayesians by Max Sklar
9:00 PM 2:00 PM A Novel Bayesian Model to Fit Spectrophotometric Data of Hubble and Spitzer Space Telescopes by Mo Akhshik
9:15 PM 2:15 PM Keynote 3
Viola Priesemann
9:30 PM 2:30 PM
9:45 PM 2:45 PM
10:00 PM 3:00 PM Ending notes